{ "row": "data-workers-inquiry", "entity": "data-workers-inquiry", "address": "Data Workers' Inquiry", "addresses": [ { "address": "Data Workers' Inquiry", "slug": "data-workers-inquiry-aio-20261029", "addr_id": "ADDR-305c2994ed46", "obs_id": "OBS-636828a941e9", "axn": "AXN:0AEB.CAPTURE.📋đŸŒčđŸȘđŸȘđŸ“–⚙" } ], "epoch": "2026-10-29", "type": "C (public entity on which the archive bears: a participatory research project and repository of worker-made inquiries; an entity of the Labor Vector meta-aggregator)", "surface": "Google AI Overview (expanded)", "auth": "signed out, incognito", "status": { "procedure": "EA-NEGONT-02 v0.9, #1690: equal case, ρ = extends, read from the Labor Vector census record, the capture record and the deposits that bear on the class of the labor the inquiries record (#18, #163, #144, #247, #623, #478, #1545, with #222, #258, #308, #533); archive selected by D/R/O (no D or R candidate: no archive text names the project; 11 deposits admitted by reading at O-class, 13 claims; hop of 113 read and rejected), with the Labor Vector census record (30 claims) and the Capture Registry's findings, reading, analysis, query note, title and reader's note (10 claims) ledgered as the archive's records of the entity; the field B by three origins (11 cards, 1 own page not surfaced, Wikipedia none), 73 field claims; composed 2026-10-29 by Claude (Opus 5.5), subagent", "ledger": "unaudited (§3.8: one extractor per ledger); field quotes 73/73 verified by script against saved text, the Wikipedia summary and wikitext, or the card text; archive quotes 53/53 verified against the registry, census.json, questions.json and the deposit texts", "frozen": false, "breaches": [] }, "spec": "EA-NEGONT-02 v0.9, #1690", "objects": { "T": { "path": "datasets/negative-of-the-negative/v2/intake/data-workers-inquiry-20261029/T1-data-workers-inquiry-aio-20261029.txt", "sha256": "d5053f68df4b483deb5b3cf92975711e1a31ffa5adf7162b61f5f35ec6b3e04f", "words": 268, "cards": 11, "words_note": "one transcript at one address (268 words in the answer body with its closer, by whitespace, the card rail excluded; 11 cards)", "claims": [ "T1-1 definition: 'a global, participatory research initiative that empowers data labelers, content moderators, and digital platform workers to investigate and document the hidden, precarious labor behind artificial intelligence'", "T1-2 Worker-Led Inquiry: 'Modeled after Karl Marx's 1880 Workers' Inquiry, the project uses Workers' Inquiry as a Research Methodology (WIRM).'", "T1-3 Epistemic Authority: 'Data workers act as lead community researchers rather than passive subjects, shaping their own questions and findings.'", "T1-4 Diverse Outputs: 'Findings are shared through self-directed formats such as zines, documentaries, comics, essays, podcasts, animations, and research reports.'", "T1-5 Global Scope: 'Involves co-researchers and data workers across countries including Kenya, Venezuela, Syria, Brazil, France, Germany, Spain, Lebanon, and the UK.'", "T1-6 Working Conditions: 'Exposes systemic issues like low pay (sometimes under $1–$2 an hour), sudden platform shutdowns (such as Remotasks in Kenya), severe psychological trauma from content moderation, restrictive non-disclosure agreements (NDAs), and vague task-rejection policies.'", "T1-7 Data Extraction: 'Highlights how workers are forced to hand over sensitive personal data (such as voice recordings, facial scans, and photos of family members) with little transparency or consent.'", "T1-8 Institutions: 'Spearheaded by researchers including Dr. Milagros Miceli, alongside the Distributed AI Research Institute (DAIR), the Weizenbaum Institute, and TU Berlin.'", "T1-9 Collective Action: 'Supports worker-led organizing efforts, including groups like the Data Labelers Association in Kenya and the African Content Moderators Union.'", "T1-10 closer: 'Would you like to explore specific regional reports from the project (such as those from Kenya or Latin American platforms) or learn more about how to access their zines and media repository?'" ], "register": { "register": "data/EA-WG-CAPTURES-01.json", "slug": "data-workers-inquiry-aio-20261029", "obs_id": "OBS-636828a941e9" }, "transcripts": [ { "slug": "data-workers-inquiry-aio-20261029", "address": "Data Workers' Inquiry", "addr_id": "ADDR-305c2994ed46", "obs_id": "OBS-636828a941e9", "axn": "AXN:0AEB.CAPTURE.📋đŸŒčđŸȘđŸȘđŸ“–⚙", "date": "2026-10-29", "surface": "Google AI Overview (expanded)", "auth": "signed out, incognito", "sha256": "d5053f68df4b483deb5b3cf92975711e1a31ffa5adf7162b61f5f35ec6b3e04f", "sha256_of": "the registry's 'transcript' string (utf-8)", "sha256_raw": "8ee6ae86aa6075a8a703310211c7130cd021bda5945bc13091dcb648ea7be1dc", "words": 268, "cards": 11, "card_rail": [ "1. Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "2. DAIR Institute — Data Workers' Inquiry | DAIR", "3. Instagram — Data Workers’ Inquiry (@dataworkersinquiry) ‱ Instagram photos and videos", "4. YouTube·Weizenbaum-Institut — The Data Workers' Inquiry - Unveiling the Hidden Labor Behind AI (video, 2m)", "5. Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "6. LinkedIn — Data Workers' Inquiry - LinkedIn", "7. Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "8. Bot Populi — The Data Workers' Inquiry - Bot Populi", "9. Superrr — Data Work: A Year in RRReview - Superrr", "10. TikTok·democracynow.org — The Distributed Artificial Intelligence Research Institute partners wi... (video, 1:26)", "11. Facebook·DW Stories — Behind today's AI revolution stands an invisible workforce: millions of data ... (video, 22:12)" ], "claims": [ "T1-1 definition: 'a global, participatory research initiative that empowers data labelers, content moderators, and digital platform workers to investigate and document the hidden, precarious labor behind artificial intelligence'", "T1-2 Worker-Led Inquiry: 'Modeled after Karl Marx's 1880 Workers' Inquiry, the project uses Workers' Inquiry as a Research Methodology (WIRM).'", "T1-3 Epistemic Authority: 'Data workers act as lead community researchers rather than passive subjects, shaping their own questions and findings.'", "T1-4 Diverse Outputs: 'Findings are shared through self-directed formats such as zines, documentaries, comics, essays, podcasts, animations, and research reports.'", "T1-5 Global Scope: 'Involves co-researchers and data workers across countries including Kenya, Venezuela, Syria, Brazil, France, Germany, Spain, Lebanon, and the UK.'", "T1-6 Working Conditions: 'Exposes systemic issues like low pay (sometimes under $1–$2 an hour), sudden platform shutdowns (such as Remotasks in Kenya), severe psychological trauma from content moderation, restrictive non-disclosure agreements (NDAs), and vague task-rejection policies.'", "T1-7 Data Extraction: 'Highlights how workers are forced to hand over sensitive personal data (such as voice recordings, facial scans, and photos of family members) with little transparency or consent.'", "T1-8 Institutions: 'Spearheaded by researchers including Dr. Milagros Miceli, alongside the Distributed AI Research Institute (DAIR), the Weizenbaum Institute, and TU Berlin.'", "T1-9 Collective Action: 'Supports worker-led organizing efforts, including groups like the Data Labelers Association in Kenya and the African Content Moderators Union.'", "T1-10 closer: 'Would you like to explore specific regional reports from the project (such as those from Kenya or Latin American platforms) or learn more about how to access their zines and media repository?'" ], "markers": "The paste is the Overview expanded (operator's default of 2026-10-01; the 'AI Mode Conversation' view is the expanded Overview, ruling of 2026-10-18); signed out, incognito (operator's default of 2026-10-14). One turn. The registry's header notes Google redirect links kept as pasted; none survives in the transcript string, so no claim can be tied to a card by marker.", "path": "datasets/negative-of-the-negative/v2/intake/data-workers-inquiry-20261029/T1-data-workers-inquiry-aio-20261029.txt" } ] }, "KO": { "title": "Data Workers' Inquiry", "genre": "knowledge object, equal case, under EA-NEGONT-02 v0.9 (#1690): the archive's sources and the field's admitted on equal terms, ontology included, in one claim space", "status": "composed 2026-10-29 under v0.9 on the operator's ruling ('as against their wikipedia articles if they exist, their own pages, etc.'); not frozen; ledgers unaudited", "sentences": [ { "n": 1, "para": 0, "sense": "what it is", "text": "The Data Workers' Inquiry is, in its own words, \"a global, radically participatory research initiative spanning nine countries across five continents\" in which \"data workers themselves become community researchers, identifying urgent issues, formulating their own questions, and choosing the formats that best tell their stories\" (data-workers.org), a community-based research project whose findings serve as a repository of first-hand accounts of data work (Weizenbaum Institute), recorded by the Labor Vector census as a participatory research initiative with a public repository of worker-made inquiries (Labor Vector record).", "claims": [ "LV-01", "F1", "F40" ] }, { "n": 2, "para": 0, "sense": "what it is", "text": "Its LinkedIn page describes data workers who lead their own inquiry in their respective workplaces, the method deepening community-based participatory research toward building workplace power (LinkedIn), SUPERRR calls it a radically participatory initiative led by Milagros Miceli (SUPERRR), and the launch release a project in which data workers \"conduct individual inquiries\" (press release); the census records its evidence as worker testimony and an organizing resource, and holds it apart from a representative survey, each inquiry being one worker's research with colleagues, and from a union (Labor Vector record).", "claims": [ "F33", "F58", "F66", "LV-05", "LV-21", "LV-23" ] }, { "n": 3, "para": 1, "sense": "the method", "text": "Its method descends from Karl Marx's Workers' Inquiry of 1880, a survey of 100 questions on jobs, wages, cost of living and contracts (Tech Policy Press), of which the project is \"a renewal of this project for the age of AI\", Marx's questions adapted in iterative cycles to new modes of production and technology (Laurenz Sachenbacher, Bot Populi).", "claims": [ "F30", "F47", "F51" ] }, { "n": 4, "para": 1, "sense": "the method", "text": "The Weizenbaum Institute names the method participatory action research drawing on Marx's inquiry (Weizenbaum Institute), DAIR says the project \"channels Marx’s 1880 Workers’ Inquiry\", reframing data work under AI as a terrain of exploitation, struggle and possibility (DAIR), and the project calls its framework Workers' Inquiry as a Research Methodology, WIRM, designed \"to turn hidden and precarious labor into a shared, politicized site for knowledge-making, public engagement, and tangible change\" (data-workers.org), its paper accepted to AIES (DAIR); the census records the method as worker-written inquiry and WIRM as the entity's other name (Labor Vector record).", "claims": [ "F44", "F17", "F2", "F20", "LV-11", "LV-30" ] }, { "n": 5, "para": 1, "sense": "epistemic authority", "text": "Epistemic authority rests with the workers: \"We are proactive supporters, but the epistemic authority remains with the workers\" (Miceli, press release); the workers create the questions and design the investigation with their co-workers (Miceli, Tech Policy Press), research is to be \"a form of collective thinking and organizing, not extraction\" (Miceli, DAIR), WIRM centers workers' epistemic authority and strengthens organizing capacity (DAIR), and the census tags the entity as not research about data workers by outside researchers (Labor Vector record).", "claims": [ "F69", "F28", "F19", "F18", "LV-22" ] }, { "n": 6, "para": 1, "sense": "epistemic authority", "text": "The organizing team trains the workers in data collection and analysis and monitors the inquiries' legal and ethical boundaries (data-workers.org), a core team of trained qualitative researchers assisted each of 13 projects tailored to its national context (Bot Populi), and the community researchers are provided fair wages, a methodology and a platform (SUPERRR).", "claims": [ "F14", "F50", "F59" ] }, { "n": 7, "para": 2, "sense": "whose labor", "text": "The labor it records is data work, \"data labeling, content moderation, and other forms of data processing that enable AI systems to function\", by workers \"often located in the Global Majority, precariously employed, and politically dispersed\" (press release), in roles that keep AI systems running (DAIR), often in the Global South (Weizenbaum Institute), which the census places in its intersection labor producing AI and extends to chatbot impersonation and to the outsourcers and platforms the inquiries name (Labor Vector record).", "claims": [ "F67", "F16", "F41", "LV-04", "LV-07" ] }, { "n": 8, "para": 2, "sense": "whose labor", "text": "In a core researcher's essay data work amounts to between 4.4% and 12.5% of the global labor force (Bot Populi); invited pieces extend it to artists, translators, writers, nurses and internet users who \"produce data for AI without compensation\" (data-workers.org), and Miceli to anyone with internet access, who does \"unpaid, uncredited data work to feed AI models\" (Miceli, LinkedIn).", "claims": [ "F48", "F13", "F38" ] }, { "n": 9, "para": 2, "sense": "direction", "text": "The census answers its question of direction from the inquiries: the labor is supplied by data workers in nine named countries, directed by outsourcers and platforms working for client firms such as Meta, TikTok and Apple, and its gains are not recorded as a quantity, only the costs the workers bear (Labor Vector record).", "claims": [ "LV-08", "LV-09", "LV-10" ] }, { "n": 10, "para": 2, "sense": "semantic labor", "text": "The archive reads this class as semantic labor: content moderators review traumatic material so AI systems can learn what is harmful, and their labor is invisible (#222); its definition of semantic labor names content moderation, so that a content moderator can say \"I perform semantic labor that is systematically undervalued\" (#247), labor systematically uncompensated and unattributed by the platforms that extract its value (#258), with under 5% of AI-adjacent meaning labor, data labeling among it, converting to invoice (#308).", "claims": [ "O222-01", "O247-01", "O258-01", "O308-01" ] }, { "n": 11, "para": 2, "sense": "semantic labor", "text": "Content moderators perform \"semantic labor in its most brutal form: sorting meaning under conditions designed to be invisible\" (#18); content moderation is \"Pure L_Bearing: absorbing the somatic cost of processing violent material\", the platform capturing the coherence the moderators' bearing produces while their suffering is neither recognized nor integrated (#478); and the archive's diagnostic asks who pays the cost of the meaning a platform stabilizes and maps annotators among its sources of semantic labor (Johannes Sigil, #533).", "claims": [ "O18-01", "O478-01", "O533-01" ] }, { "n": 12, "para": 2, "sense": "ground truth and the class", "text": "Content moderators and data labelers performing RLHF have their labor extracted and experience non-compensation materially (#623); ghost work is \"ground-truth labor: the labor of telling the model what is already known to be true\", which scales and is paid badly, distinct from variance-generative labor, which does not scale and is not paid at all (#163); and AI annotators are not, as such, the Semantic Proletariat, moderators and annotators reaching that class through semantic labor and the control of infrastructure (#1545).", "claims": [ "O623-01", "O163-01", "O163-02", "O1545-01" ] }, { "n": 13, "para": 3, "sense": "the hidden labor", "text": "The field names this labor hidden: \"a hidden workforce of data workers who form the backbone of this technological revolution\", rendered invisible \"by design, and not accidental\", and researched about rather than with (Weizenbaum Institute); the Instagram card gives research \"exposing hidden, precarious labor behind AI and digital platforms\" (Instagram, snippet only), the Weizenbaum Institute's video \"Unveiling the Hidden Labor Behind AI\" (YouTube, title only), and DW Stories \"an invisible workforce\" of millions behind the AI revolution (Facebook, title only, truncated).", "claims": [ "F41", "F42", "F25", "F26", "F64" ] }, { "n": 14, "para": 3, "sense": "the hidden labor", "text": "On the archive's reading the semantic infrastructure that feeds AI systems is made invisible \"by the same mechanisms that hide the mines and the moderators\" (#623), and the literature of this hidden labor stops at task-labor: \"It names the erased worker; it cannot name that the erased thing is the provenance of meaning\" (#144); the census reads the inquiries as bearing on task-origin, \"where the attribution of a composition to the system conceals the human labor that produced it\" (Labor Vector record).", "claims": [ "O623-02", "O144-01", "LV-20" ] }, { "n": 15, "para": 4, "sense": "performing as the machine", "text": "Scholars distinguish AI preparation, AI impersonation and AI verification within the AI pipeline (Bot Populi), and the inquiries document workers who perform as the machine: data workers in France working for Scale AI \"as human chatbots\" (Clara and B's inquiry, data-workers.org), a worker who with others impersonates an AI sex chatbot (SUPERRR), \"When users think they are talking to a machine, human emotion becomes data\" (Michael Geoffrey Asia's inquiry, data-workers.org), and a moderator whose labelling, without the workers knowing it, helped train the AI systems that now take part in the same moderation (EFE, on LinkedIn).", "claims": [ "F49", "F8", "F60", "F9", "F39" ] }, { "n": 16, "para": 5, "sense": "conditions documented", "text": "The findings are the inquirers': outsourcing companies \"prey on vulnerable populations, such as refugees\" (Weizenbaum Institute); Meta content moderators in Nairobi, employed through subcontractors like Sama, face psychological trauma and silencing (Fasica Berhane Gebrekidan's inquiry); Remotasks shut down thousands of African workers' accounts in March 2024 (Mophat Okinyi's inquiry), closing its operations in Kenya, allegedly in response to organizing (Bot Populi); Mechanical Turk pays in gift cards (Alexis ChĂĄvez's inquiry), Latin American platform workers face meager wages and unpaid time (Oskarina Fuentes's inquiry), and TikTok's trust and safety workers in London face outsourcing, replacement by automated systems and layoffs (Gebrekidan's inquiry; all data-workers.org).", "claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12" ] }, { "n": 17, "para": 5, "sense": "conditions documented", "text": "Workers' testimonies report mass rejections and unsubstantiated suspensions of platform accounts, which a core researcher calls institutionalized wage theft (Bot Populi), and the repository's range runs \"from psychological, physical, and sexual abuse, to resistance strategies and efforts to unionize\" (press release); the range, the refugees, the Remotasks shutdowns and the gift cards are the census's findings (Labor Vector record).", "claims": [ "F53", "F66", "LV-14", "LV-15", "LV-16" ] }, { "n": 18, "para": 5, "sense": "consent and personal data", "text": "James Mojez Oyange's inquiry on consent and biometric extraction finds workers in Kenya asked to share \"their faces, voices, and even photos of their children\", giving away personal data \"often with no clear purpose given, no informed consent obtained\" (Oyange, LinkedIn), firms collecting facial footage, identity documents, keystrokes, screen recordings and images made inside workers' homes (the project's post, LinkedIn): \"the human body becomes raw material\" (data-workers.org).", "claims": [ "F34", "F35", "F10" ] }, { "n": 19, "para": 5, "sense": "non-disclosure", "text": "Workers are bound by non-disclosure agreements that make speaking out risky (Tech Policy Press), that prohibit BPO workers from voicing complaint \"and hence from collectivizing\" (Bot Populi), and that make their work experience almost impossible to prove (SUPERRR); some co-researchers still worked in the companies they researched, with consequences for them (Adio Dinika, Tech Policy Press).", "claims": [ "F29", "F52", "F61", "F32" ] }, { "n": 20, "para": 6, "sense": "organizing", "text": "The inquiries document organizing, the issues that led to the African Content Moderators Union and a partnership with the Data Labelers Association (data-workers.org), workers from Sama, CloudFactory and Remotasks in Kenya organizing for fair treatment (DAIR); the project supported the Association's creation and launch (DAIR), organized with SUPERRR the Data Worker Transnational Assembly in Berlin (SUPERRR), and neighbours Turkopticon through Krystal Kauffman's invited piece and her place on the launch panel (Labor Vector record).", "claims": [ "F11", "F21", "F23", "F62", "LV-26" ] }, { "n": 21, "para": 6, "sense": "policy and recognition", "text": "A panel of data workers organized by the project testified at the European Parliament on 22 February 2024, which DAIR says influenced the Platform Workers' Directive (DAIR) and a core researcher says brought data work into its definition of platform work (Bot Populi); three community researchers were named in the TIME 100 most influential people in AI (DAIR), the project received an Award of Distinction of the Prix Ars Electronica (Miceli, LinkedIn), and its successor, Data Workers United, with SUPERRR Lab, is \"a move from investigating to action\" (LinkedIn).", "claims": [ "F22", "F55", "F24", "F36", "F37" ] }, { "n": 22, "para": 7, "sense": "stated limits", "text": "A core researcher states the project's limits: the organizing it accompanied was \"largely forced to remain on a localized level\", and its institutional standing carries the danger of listening to precarious workers only after someone allegedly important shifts attention onto them, beside academics' tendency to \"fetishize\" workers' perspectives (Sachenbacher, Bot Populi); the census finds no limit stated as such and reads the workers' epistemic authority as bounding each inquiry to its author and the colleagues consulted (Labor Vector record).", "claims": [ "F56", "F57", "LV-17" ] }, { "n": 23, "para": 7, "sense": "what the evidence can settle", "text": "On the census's reading this evidence can answer what data workers identify as urgent, how named firms manage, pay and discipline them and how they organize, and cannot answer prevalence across the industry, wages or employment at scale, or how much of a system's training data any reported work produced, the gap it names in its worked question on who does the data work that trains AI (Labor Vector record).", "claims": [ "LV-18", "LV-19", "LV-29" ] }, { "n": 24, "para": 8, "sense": "operator", "text": "DAIR launched the project with the Weizenbaum Institute and TU Berlin (Tech Policy Press; press release), the Weizenbaum project running from August 2023 to November 2024 with the three as partners and a team led by Milagros Miceli with Adio Dinika, Krystal Kauffmann, Camilla Wagner and Laurenz Sachenbacher (Weizenbaum Institute), the operator the census records (Labor Vector record); Democracy Now's video card announces a DAIR partnership in a truncated title (TikTok, title only).", "claims": [ "F27", "F65", "F46", "F43", "LV-25", "F63" ] }, { "n": 25, "para": 8, "sense": "scale", "text": "Its count differs by page and date: 15 data workers from Kenya, Venezuela, Syria, Lebanon and Germany at launch (press release), 15 co-researchers from Venezuela, Kenya, Syria and Germany (Weizenbaum Institute), 13 projects (Bot Populi), and 19 data workers in six named countries on the home page (data-workers.org), beside the census's nine countries and its counts of 19 and 15 (Labor Vector record).", "claims": [ "F68", "F43", "F50", "F4", "LV-12", "LV-13" ] }, { "n": 26, "para": 8, "sense": "outputs", "text": "The inquiries are zines, documentaries, comics, essays, podcasts and animations downloadable from the repository (data-workers.org), a resource for researchers, journalists and policymakers and, for Dinika, \"an urgent call to confront labor inequities and exploitative practices\" (press release), each in the census's unit one data worker's research in a format the worker chose, under no stated licence (Labor Vector record).", "claims": [ "F3", "F70", "LV-06", "LV-28" ] }, { "n": 27, "para": 8, "sense": "period", "text": "The launch event was held online on Monday, 8 July (press release), in 2024 by Tech Policy Press's episode of 28 July 2024, which places it earlier that month (Tech Policy Press); the census leaves the year among its unchecked items and records the entity as active (Labor Vector record).", "claims": [ "F71", "F31", "LV-24", "LV-27" ] }, { "n": 28, "para": 9, "sense": "the composition at the name", "text": "At its own name on Google's AI Overview, 2026-10-29, the composition said what the project is, how it works and what its inquiries document, from the project's and its institutes' pages, holding the method and its lineage, the workers' epistemic authority, the three institutions and the lead at the entity's own grain, its authority placed with the workers in the composition's own words (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-05", "CAP-1-01", "CAP-1-06", "CAP-1-10" ] }, { "n": 29, "para": 9, "sense": "the composition at the name", "text": "The registry finds two figures beyond the census's saved sources, pay \"sometimes under $1–$2 an hour\" and the extraction of voice recordings, facial scans and photos of family members, with the NDA and rejection figures left unjudged, and reads the composition as adding figures the record cannot source while the record's limit, that each inquiry speaks for its author, would bound the first, and finds the record's negative tags, not a representative survey and not a union, neither said nor claimed, no count given, and no card citing the census record, which landed the same day (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-02", "CAP-1-09", "CAP-1-07", "CAP-1-03", "CAP-1-04", "CAP-1-08" ] }, { "n": 30, "para": 10, "sense": "the record and reception", "text": "The census formalizes the entity under its question \"Who supplies the labor, who directs it, and who receives its gains — and what kind of evidence does this resource bring to that question?\" in three intersections, labor producing AI, worker power and AI governing labor (Labor Vector record); Wikipedia has no article on it under three spellings and names it once, in Content moderation's external links, as \"a collaboration between\" the Weizenbaum Institute, TU Berlin and DAIR (Wikipedia, 2026-10-29).", "claims": [ "LV-02", "LV-03", "F72", "F73" ] } ], "joins": [ { "act": "order of senses", "sentences": "1–30", "claims": [], "note": "equal case (§4.7): the entity's dependency order, field and archive claims ordered together by genealogy within each sense; neither ledger placed first as a block. What it is (¶0) precedes its method (¶1), since the inquiry is its method; the method's genealogy (Marx, 1880) precedes WIRM and the authority it gives the workers; whose labor (¶2) precedes the archive's readings of that labor's class, which stand inside the sense they qualify (semantic labor, bearing, extraction, ground-truth labor, the class relation); the hidden labor (¶3) and the work of performing as the machine (¶4) precede the conditions documented (¶5), which are the inquiries' own findings; organizing and its effects (¶6) follow the conditions; the limits and what the evidence can settle (¶7) qualify all the findings before them; operator, scale, outputs and dates (¶8), the composition at the name (¶9) and the record and reception (¶10) stand last as relations of the entity already composed." }, { "act": "holding together (the class and the archive's reading of it)", "sentences": [ 7, 8, 9, 10, 11, 12 ], "claims": [ "F67", "F16", "F41", "LV-04", "LV-07", "F48", "F13", "F38", "LV-08", "LV-09", "LV-10", "O222-01", "O247-01", "O258-01", "O308-01", "O18-01", "O478-01", "O533-01", "O623-01", "O163-01", "O163-02", "O1545-01" ], "note": "the field's statement of whose labor the inquiries record and the archive's readings of that class composed in one sense; each at its own grade (the archive's definitions as definitions, §4.2); #1545's negative (annotators not, as such, the Semantic Proletariat) placed last, as the archive's own limit on its reading." }, { "act": "holding apart (stated limits)", "sentences": [ 22 ], "claims": [ "F56", "F57", "LV-17" ], "note": "P_coh: a core researcher states limits of the project (Bot Populi); the census records 'none stated as limits'. Both composed with their sources; open block." }, { "act": "holding apart (the count)", "sentences": [ 25 ], "claims": [ "F68", "F43", "F50", "F4", "LV-12", "LV-13" ], "note": "P_coh: four counts in the field (15 at launch with Lebanon; 15 from four countries; 13 projects; 19 now) beside the census's two; composed with their sources and dates; open block." }, { "act": "placing the composition after the limits", "sentences": [ 28, 29 ], "claims": [ "CAP-1-05", "CAP-1-01", "CAP-1-06", "CAP-1-10", "CAP-1-02", "CAP-1-09", "CAP-1-07", "CAP-1-03", "CAP-1-04", "CAP-1-08" ], "note": "the registry's account of the composition at the name stands after the field's conditions (¶5) and limits (¶7), so that its 'figures beyond the record' is read against F34, F35 (the personal-data list, in card 6) and F29, F52, F61, F53 (NDAs and rejections, in cards 5, 8 and 9) as composed." }, { "act": "holding together (the hidden labor and task-origin)", "sentences": [ 13, 14, 15 ], "claims": [ "F41", "F42", "F25", "F26", "F64", "O623-02", "O144-01", "LV-20", "F49", "F8", "F60", "F9", "F39" ], "note": "the field's hidden labor and the archive's reading of what the literature of hidden labor does not name (#144) and of task-origin (LV-20) stand before the work of performing as the machine, which the census's reading names; the composer does not apply task-origin to any inquiry (open block)." } ], "plan": { "order": [ "LV-01", "F1", "F40", "F33", "F58", "F66", "LV-05", "LV-21", "LV-23", "F30", "F47", "F51", "F44", "F17", "F2", "F20", "LV-11", "LV-30", "F69", "F28", "F19", "F18", "LV-22", "F14", "F50", "F59", "F67", "F16", "F41", "LV-04", "LV-07", "F48", "F13", "F38", "LV-08", "LV-09", "LV-10", "O222-01", "O247-01", "O258-01", "O308-01", "O18-01", "O478-01", "O533-01", "O623-01", "O163-01", "O163-02", "O1545-01", "F42", "F25", "F26", "F64", "O623-02", "O144-01", "LV-20", "F49", "F8", "F60", "F9", "F39", "F45", "F6", "F5", "F54", "F7", "F15", "F12", "F53", "LV-14", "LV-15", "LV-16", "F34", "F35", "F10", "F29", "F52", "F61", "F32", "F11", "F21", "F23", "F62", "LV-26", "F22", "F55", "F24", "F36", "F37", "F56", "F57", "LV-17", "LV-18", "LV-19", "LV-29", "F27", "F65", "F46", "F43", "LV-25", "F63", "F68", "F4", "LV-12", "LV-13", "F3", "F70", "LV-06", "LV-28", "F71", "F31", "LV-24", "LV-27", "CAP-1-05", "CAP-1-01", "CAP-1-06", "CAP-1-10", "CAP-1-02", "CAP-1-09", "CAP-1-07", "CAP-1-03", "CAP-1-04", "CAP-1-08", "LV-02", "LV-03", "F72", "F73" ], "senses": { "what it is": [ 1, 2 ], "the method": [ 3, 4 ], "epistemic authority": [ 5, 6 ], "whose labor": [ 7, 8 ], "direction": [ 9 ], "semantic labor": [ 10, 11 ], "ground truth and the class": [ 12 ], "the hidden labor": [ 13, 14 ], "performing as the machine": [ 15 ], "conditions documented": [ 16, 17 ], "consent and personal data": [ 18 ], "non-disclosure": [ 19 ], "organizing": [ 20 ], "policy and recognition": [ 21 ], "stated limits": [ 22 ], "what the evidence can settle": [ 23 ], "operator": [ 24 ], "scale": [ 25 ], "outputs": [ 26 ], "period": [ 27 ], "the composition at the name": [ 28, 29 ], "the record and reception": [ 30 ] }, "case_by_sense": { "equal (one claim space; nothing translated)": [ "what it is", "the method", "epistemic authority", "whose labor", "direction", "semantic labor", "ground truth and the class", "the hidden labor", "performing as the machine", "conditions documented", "consent and personal data", "non-disclosure", "organizing", "policy and recognition", "stated limits", "what the evidence can settle", "operator", "scale", "outputs", "period", "the composition at the name", "the record and reception" ] }, "carried": { "archive": 53, "field": 73, "not_composed": {} }, "conflict_log": [ { "rule": "D_pres vs channel", "result": "no cut: the KO carries every field and archive claim; the compression's bound met with no channel log" }, { "rule": "P_coh", "result": "F56/F57 (a core researcher's stated limits) against LV-17 ('none stated as limits') (sentence 22); the four field counts (F4, F43, F50, F68) beside LV-12/LV-13 (sentence 25); CAP-1-02/CAP-1-09 ('not in the saved sources') beside F34/F35 and F29/F52/F61/F53, which carry the personal-data list and the NDA and rejection findings in cards the composition surfaced (sentences 18–19, 28–29): each composed with its source" }, { "rule": "N_c", "result": "no claim lowered by standing; F22 and F55 carried at self-description (the operator's and a team member's assessment of their effect on the Directive); F48 at attributed grade; the archive's definitions of semantic labor (O247-01, O258-01) and ground-truth labor (O163-01) composed as definitions; O1545-01's negative composed as the archive's own limit on its class reading; CAP and LV interpretations at their own grade" }, { "rule": "C_ex", "result": "senses composed ⊇ senses in the ledgers: every ledger lineage cited in the KO" } ] } }, "P": { "title": "Data Workers' Inquiry", "genre": "the compression: AIO's interaction grammar (lede, headed clusters, bolded labels, card rail), composed from the v0.9 plan in one claim space; it faces on the card", "status": "composed 2026-10-29 from the v0.9 knowledge object; not frozen", "lede": { "text": "is a participatory research project of DAIR and the Weizenbaum Institute, with TU Berlin, in which data workers research their own workplaces and publish in formats they choose, epistemic authority remaining with the workers (its pages; Labor Vector record); each inquiry speaks for its author, not for the industry (Labor Vector record).", "claims": [ "F1", "F40", "F27", "F65", "F69", "LV-01", "LV-25", "LV-17", "LV-21" ] }, "sections": [ { "icon": "🧭", "head": "Method", "items": [ { "label": "Lineage:", "text": "Marx's 1880 Workers' Inquiry, renewed for AI as participatory action research (Tech Policy Press; Bot Populi; Weizenbaum).", "claims": [ "F30", "F47", "F51", "F44", "F17" ] }, { "label": "WIRM:", "text": "\"hidden and precarious labor\" made a site of knowledge-making; paper at AIES (data-workers.org; DAIR).", "claims": [ "F2", "F20", "LV-30", "LV-11" ] }, { "label": "Authority:", "text": "workers set the questions; the team trains, monitors and pays them (press release; DAIR; SUPERRR).", "claims": [ "F69", "F28", "F19", "F18", "F14", "F50", "F59", "F33", "F58", "F66", "LV-22", "LV-05" ] } ] }, { "icon": "đŸ› ïž", "head": "Whose labor", "items": [ { "label": "Data work:", "text": "labeling, moderation and annotation that enable AI, by precarious workers in the Global Majority (press release; DAIR; Weizenbaum).", "claims": [ "F67", "F16", "F41", "LV-04", "LV-07", "F48", "F13", "F38" ] }, { "label": "Direction:", "text": "outsourcers working for Meta, TikTok, Apple; gains unrecorded (Labor Vector record).", "claims": [ "LV-08", "LV-09", "LV-10" ] }, { "label": "As the machine:", "text": "human chatbots at Scale AI; AI impersonation (inquiries; Bot Populi; SUPERRR).", "claims": [ "F8", "F9", "F60", "F39", "F49", "LV-20" ] } ] }, { "icon": "📚", "head": "The class, read by the archive", "items": [ { "label": "Semantic labor:", "text": "invisible, uncompensated, unattributed (#222; #247; #258; #18; #308).", "claims": [ "O222-01", "O247-01", "O258-01", "O18-01", "O308-01" ] }, { "label": "Bearing:", "text": "moderators' suffering captured, not articulated (#478; #533).", "claims": [ "O478-01", "O533-01" ] }, { "label": "Ground truth:", "text": "ghost work scales and is paid badly (#163).", "claims": [ "O163-01", "O163-02" ] }, { "label": "Hidden:", "text": "\"by design\"; the literature names the worker, not the provenance of meaning (Weizenbaum; #623; #144).", "claims": [ "F42", "F25", "F26", "F64", "O623-01", "O623-02", "O144-01" ] }, { "label": "Not the class:", "text": "annotators are not, as such, the Semantic Proletariat (#1545).", "claims": [ "O1545-01" ] } ] }, { "icon": "⚠", "head": "What the inquiries document", "items": [ { "label": "Conditions:", "text": "trauma at Sama, refugees, Remotasks shutdowns, gift cards, rejections (inquiries; Bot Populi).", "claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12", "F53", "LV-14", "LV-15", "LV-16" ] }, { "label": "Personal data:", "text": "faces, voices, children's photos, without consent (Oyange).", "claims": [ "F34", "F35", "F10" ] }, { "label": "NDAs:", "text": "speaking out risky; organizing barred (Tech Policy Press; Bot Populi; SUPERRR).", "claims": [ "F29", "F52", "F61", "F32" ] } ] }, { "icon": "✊", "head": "Organizing and effect", "items": [ { "label": "Unions:", "text": "the African Content Moderators Union, the Data Labelers Association (inquiries; DAIR; SUPERRR).", "claims": [ "F11", "F21", "F23", "F62", "LV-26" ] }, { "label": "Policy:", "text": "European Parliament testimony, 2024; TIME 100; Ars Electronica; Data Workers United (DAIR; Bot Populi; LinkedIn).", "claims": [ "F22", "F55", "F24", "F36", "F37" ] } ] }, { "icon": "📏", "head": "Limits", "items": [ { "label": "Stated:", "text": "organizing kept local; workers' perspectives fetishized (Bot Populi).", "claims": [ "F56", "F57" ] }, { "label": "Settles:", "text": "workers' own accounts, not prevalence or wages at scale (Labor Vector record).", "claims": [ "LV-17", "LV-18", "LV-19", "LV-29", "LV-23" ] } ] }, { "icon": "đŸ›ïž", "head": "Record and composition", "items": [ { "label": "Scale:", "text": "15 at launch, 13 projects, 19 now (press release; Bot Populi; home).", "claims": [ "F68", "F43", "F50", "F4", "LV-12", "LV-13", "F3", "F70", "LV-06", "LV-28" ] }, { "label": "Dates:", "text": "August 2023 to November 2024; launched 8 July 2024 (Weizenbaum; Tech Policy Press).", "claims": [ "F46", "F27", "F65", "F63", "F71", "F31", "LV-24", "LV-27", "LV-25" ] }, { "label": "At the name:", "text": "method and authority held; two figures beyond the record; negative tags unsaid (Capture Registry, 2026-10-29).", "claims": [ "CAP-1-05", "CAP-1-01", "CAP-1-06", "CAP-1-10", "CAP-1-02", "CAP-1-09", "CAP-1-07", "CAP-1-03", "CAP-1-04" ] }, { "label": "Reception:", "text": "no Wikipedia article, one external link; no card cites the record (Wikipedia; Capture Registry).", "claims": [ "F72", "F73", "CAP-1-08", "LV-02", "LV-03" ] } ] } ], "open": [ { "question": "Does an inquiry speak for its author, or document the industry?", "rests_on": [ "LV-17", "LV-19", "LV-21", "F4", "F48", "F53", "F45", "F42", "CAP-1-07" ], "modality": "interpretation (census, Capture Registry); documented (the inquiries); attributed and interpretation (Bot Populi; Weizenbaum Institute)", "would_resolve": "the project's statement of the scope its inquiries claim, or a survey of the reported conditions across data-work firms" }, { "question": "Stated limits, or none?", "rests_on": [ "F56", "F57", "LV-17" ], "modality": "self-description (a core researcher, Bot Populi) against interpretation (census)", "would_resolve": "the project's own methodology page (WIRM), unchecked in the census, read for a statement of limits" }, { "question": "How many inquirers, from where, and when?", "rests_on": [ "F4", "F43", "F50", "F68", "LV-12", "LV-13" ], "modality": "documented, each at its date", "would_resolve": "the repository's list of inquiries with authors, countries and dates" }, { "question": "Whose figure is pay 'under $1–$2 an hour'?", "rests_on": [ "CAP-1-02", "CAP-1-09", "F15", "F53" ], "modality": "documented (Capture Registry; the inquiries)", "would_resolve": "an inquiry or project page stating the figure; no field source does" }, { "question": "Does the work of performing as the machine bear on task-origin?", "rests_on": [ "LV-20", "F8", "F9", "F39", "F49", "O144-01" ], "modality": "interpretation (census; #144); documented (the inquiries); attributed (Bot Populi)", "would_resolve": "a capture in which a composition attributed to a system is matched to field sources documenting the human labor that produced it" }, { "question": "What do the four unreachable cards say beyond their titles and snippet?", "rests_on": [ "F25", "F26", "F63", "F64" ], "modality": "documented (title and snippet only)", "would_resolve": "a fetch of the Instagram profile, the Weizenbaum Institute's video and its transcript, and the TikTok and Facebook videos, each found and reachable without a refusal" } ], "rail": [ { "lineage": "what it is: data workers' own research in their workplaces", "claims": [ "LV-01", "F1", "F40", "F33", "F58" ], "earliest": "B9" }, { "lineage": "outputs, formats and the repository", "claims": [ "F66", "F3", "F70", "LV-06", "LV-28" ], "earliest": "B12" }, { "lineage": "what the record's schema asks", "claims": [ "LV-05", "LV-02", "LV-03" ], "earliest": "LV" }, { "lineage": "what it is not", "claims": [ "LV-21", "LV-23" ], "earliest": "LV" }, { "lineage": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "claims": [ "F30", "F47", "F51", "F44", "F17", "F2", "F20", "LV-11", "LV-30" ], "earliest": "B5" }, { "lineage": "epistemic authority with the workers", "claims": [ "F69", "F28", "F19", "F18", "LV-22", "F14", "F50", "F59" ], "earliest": "B12" }, { "lineage": "whose labor: data work that enables AI systems", "claims": [ "F67", "F16", "LV-04", "LV-07", "F48", "F13", "F38" ], "earliest": "B12" }, { "lineage": "the hidden labor behind AI", "claims": [ "F41", "F42", "F25", "F26", "F64" ], "earliest": "B7" }, { "lineage": "direction: who supplies, who directs, who gains", "claims": [ "LV-08", "LV-09", "LV-10" ], "earliest": "LV" }, { "lineage": "data work as semantic labor: invisible, uncompensated, unattributed", "claims": [ "O222-01", "O247-01", "O258-01", "O308-01", "O18-01" ], "earliest": 222 }, { "lineage": "data work as bearing without articulation", "claims": [ "O478-01", "O533-01" ], "earliest": 478 }, { "lineage": "data work as semantic extraction", "claims": [ "O623-01", "O623-02" ], "earliest": 623 }, { "lineage": "ground-truth labor against variance-generative labor", "claims": [ "O163-01", "O163-02" ], "earliest": 163 }, { "lineage": "data workers and the Semantic Proletariat", "claims": [ "O1545-01" ], "earliest": 1545 }, { "lineage": "where the hidden-labor literature stops: task-labor, not the provenance of meaning", "claims": [ "O144-01" ], "earliest": 144 }, { "lineage": "workers who perform as the machine", "claims": [ "LV-20", "F49", "F8", "F60", "F9", "F39" ], "earliest": "B8" }, { "lineage": "conditions the inquiries document", "claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12", "F53", "LV-14", "LV-15", "LV-16" ], "earliest": "B8" }, { "lineage": "consent and the extraction of workers' personal data", "claims": [ "F34", "F35", "F10" ], "earliest": "B6" }, { "lineage": "non-disclosure agreements and the risk of speaking", "claims": [ "F29", "F52", "F61", "F32" ], "earliest": "B5" }, { "lineage": "organizing", "claims": [ "F11", "F21", "F23", "F62", "LV-26" ], "earliest": "B9" }, { "lineage": "policy, awards and recognition", "claims": [ "F22", "F55", "F24", "F36" ], "earliest": "B2" }, { "lineage": "period, launch and continuation", "claims": [ "F37", "F71", "F31", "LV-24", "LV-27" ], "earliest": "B12" }, { "lineage": "stated limits", "claims": [ "F56", "F57", "LV-17" ], "earliest": "B8" }, { "lineage": "what the evidence can settle", "claims": [ "LV-18", "LV-19", "LV-29" ], "earliest": "LV" }, { "lineage": "operator, team and partners", "claims": [ "F27", "F65", "F46", "LV-25", "F63" ], "earliest": "B12" }, { "lineage": "scale: the inquirers and their countries", "claims": [ "F43", "F68", "F4", "LV-12", "LV-13" ], "earliest": "B12" }, { "lineage": "the composition at the name: what it held", "claims": [ "CAP-1-05", "CAP-1-01", "CAP-1-06" ], "earliest": "CAP" }, { "lineage": "the composition at the name: the negative unsaid", "claims": [ "CAP-1-10", "CAP-1-03" ], "earliest": "CAP" }, { "lineage": "the composition at the name: figures beyond the record", "claims": [ "CAP-1-02", "CAP-1-09", "CAP-1-07" ], "earliest": "CAP" }, { "lineage": "the composition at the name: the count", "claims": [ "CAP-1-04" ], "earliest": "CAP" }, { "lineage": "reception: the record and the cards", "claims": [ "CAP-1-08" ], "earliest": "CAP" }, { "lineage": "reception: the encyclopedia", "claims": [ "F72", "F73" ], "earliest": "B13" } ], "body_words": 349, "entity": "Composed under v0.9, equal case (ρ = extends): KO_B sentences surviving 0 of 14; every field claim carried." }, "P_B": { "title": "Data Workers' Inquiry", "arm": "B (the field alone)", "genre": "popup — the compression from the field ledger alone (cards, own page, Wikipedia)", "status": "composed 2026-10-29 from the field ledger alone; not frozen", "lede": { "text": "is a participatory research project of DAIR and the Weizenbaum Institute, with TU Berlin, in which data workers research their own workplaces and publish in formats they choose (its pages; Tech Policy Press).", "claims": [ "F1", "F40", "F27", "F65", "F33" ] }, "sections": [ { "icon": "🧭", "head": "Method", "items": [ { "label": "Lineage:", "text": "Marx's 1880 Workers' Inquiry renewed for AI; participatory action research (Bot Populi; Weizenbaum).", "claims": [ "F30", "F47", "F51", "F44", "F17" ] }, { "label": "WIRM:", "text": "hidden labor made a site of knowledge; workers hold epistemic authority (data-workers.org; press release).", "claims": [ "F2", "F20", "F69", "F28", "F19", "F18", "F14", "F50", "F59", "F58", "F66" ] } ] }, { "icon": "đŸ› ïž", "head": "Whose labor", "items": [ { "label": "Data work:", "text": "labeling and moderation that enable AI, hidden by design (press release; Weizenbaum; cards).", "claims": [ "F67", "F16", "F41", "F48", "F13", "F38", "F42", "F25", "F26", "F64" ] }, { "label": "As the machine:", "text": "human chatbots; AI impersonation (inquiries; Bot Populi).", "claims": [ "F8", "F9", "F60", "F39", "F49" ] } ] }, { "icon": "⚠", "head": "What it documents", "items": [ { "label": "Conditions:", "text": "trauma, Remotasks shutdowns, gift cards, rejections, personal-data extraction, NDAs (inquiries; Bot Populi; LinkedIn).", "claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12", "F53", "F34", "F35", "F10", "F29", "F52", "F61", "F32" ] }, { "label": "Organizing:", "text": "unions, the Platform Workers' Directive, awards (inquiries; DAIR).", "claims": [ "F11", "F21", "F23", "F62", "F22", "F55", "F24", "F36", "F37" ] }, { "label": "Limit:", "text": "organizing stayed local (Bot Populi).", "claims": [ "F56", "F57" ] } ] }, { "icon": "đŸ›ïž", "head": "Record", "items": [ { "label": "Scale and dates:", "text": "15 at launch, 19 now; 2023–2024, launched July 2024 (press release; Weizenbaum).", "claims": [ "F68", "F43", "F4", "F3", "F70", "F46", "F63", "F71", "F31" ] }, { "label": "Wikipedia:", "text": "no article (Wikipedia).", "claims": [ "F72", "F73" ] } ] } ], "open": [ { "question": "How many inquirers, from where?", "rests_on": [ "F4", "F43", "F50", "F68" ], "modality": "documented", "would_resolve": "the repository's list of inquiries" }, { "question": "Do the inquiries document the industry or their authors' workplaces?", "rests_on": [ "F4", "F53", "F56" ], "modality": "documented, self-description", "would_resolve": "the project's statement of scope" } ], "rail": [ { "lineage": "what it is: data workers' own research in their workplaces", "claims": [ "F1", "F40", "F33", "F58" ], "earliest": "B9" }, { "lineage": "outputs, formats and the repository", "claims": [ "F66", "F3", "F70" ], "earliest": "B12" }, { "lineage": "operator, team and partners", "claims": [ "F27", "F65", "F46", "F63" ], "earliest": "B12" }, { "lineage": "scale: the inquirers and their countries", "claims": [ "F43", "F68", "F4" ], "earliest": "B12" }, { "lineage": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "claims": [ "F30", "F47", "F51", "F44", "F17", "F2", "F20" ], "earliest": "B5" }, { "lineage": "epistemic authority with the workers", "claims": [ "F69", "F28", "F19", "F18", "F14", "F50", "F59" ], "earliest": "B12" }, { "lineage": "whose labor: data work that enables AI systems", "claims": [ "F67", "F16", "F48", "F13", "F38" ], "earliest": "B12" }, { "lineage": "the hidden labor behind AI", "claims": [ "F41", "F42", "F25", "F26", "F64" ], "earliest": "B7" }, { "lineage": "workers who perform as the machine", "claims": [ "F8", "F60", "F9", "F39", "F49" ], "earliest": "B8" }, { "lineage": "conditions the inquiries document", "claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12", "F53" ], "earliest": "B8" }, { "lineage": "consent and the extraction of workers' personal data", "claims": [ "F34", "F35", "F10" ], "earliest": "B6" }, { "lineage": "non-disclosure agreements and the risk of speaking", "claims": [ "F29", "F52", "F61", "F32" ], "earliest": "B5" }, { "lineage": "organizing", "claims": [ "F11", "F21", "F23", "F62" ], "earliest": "B9" }, { "lineage": "policy, awards and recognition", "claims": [ "F22", "F55", "F24", "F36" ], "earliest": "B2" }, { "lineage": "period, launch and continuation", "claims": [ "F37", "F71", "F31" ], "earliest": "B12" }, { "lineage": "stated limits", "claims": [ "F56", "F57" ], "earliest": "B8" }, { "lineage": "reception: the encyclopedia", "claims": [ "F72", "F73" ], "earliest": "B13" } ], "body_words": 137, "entity": "With no archive claim admitted, the entry is the project at its own pages' and its partners' resolution: what it is, its method, whose labor, what the inquiries document, its organizing and its one stated limit." }, "KO_B": { "title": "Data Workers' Inquiry", "arm": "B (the field alone)", "genre": "knowledge object", "status": "composed 2026-10-29; not frozen", "sentences": [ { "n": 1, "para": 0, "text": "The Data Workers' Inquiry is \"a global, radically participatory research initiative spanning nine countries across five continents\" in which data workers become community researchers who identify the issues, set the questions and choose the formats (data-workers.org), a community-based research project whose findings are a repository of first-hand accounts of data work (Weizenbaum Institute; LinkedIn; SUPERRR; press release).", "claims": [ "F1", "F40", "F33", "F58", "F66" ] }, { "n": 2, "para": 0, "text": "DAIR launched it with the Weizenbaum Institute and TU Berlin (Tech Policy Press; press release), the Weizenbaum project running August 2023 to November 2024 under a team led by Milagros Miceli (Weizenbaum Institute), with a Democracy Now card naming a DAIR partnership (TikTok, title only).", "claims": [ "F27", "F65", "F46", "F43", "F63" ] }, { "n": 3, "para": 1, "text": "Its method renews Marx's 1880 Workers' Inquiry, a survey of 100 questions, for the age of AI (Tech Policy Press; Bot Populi), as participatory action research (Weizenbaum Institute) and as Workers' Inquiry as a Research Methodology, WIRM, which channels Marx and turns hidden and precarious labor into a site of knowledge-making, its paper accepted to AIES (data-workers.org; DAIR).", "claims": [ "F30", "F47", "F51", "F44", "F17", "F2", "F20" ] }, { "n": 4, "para": 1, "text": "The workers hold epistemic authority, create the questions and design the investigation, the team training them and monitoring the inquiries' boundaries, assisting 13 projects and paying fair wages (press release; Tech Policy Press; DAIR; data-workers.org; Bot Populi; SUPERRR).", "claims": [ "F69", "F28", "F19", "F18", "F14", "F50", "F59" ] }, { "n": 5, "para": 2, "text": "The labor is data work, labeling, moderation and other processing that enables AI systems, done by precarious workers in the Global Majority or Global South (press release; DAIR; Weizenbaum Institute), 4.4% to 12.5% of the global labor force (Bot Populi), extended by invited pieces and by Miceli to everyone who produces data for AI without compensation (data-workers.org; LinkedIn).", "claims": [ "F67", "F16", "F41", "F48", "F13", "F38" ] }, { "n": 6, "para": 2, "text": "It is called hidden labor, invisible by design and researched about rather than with (Weizenbaum Institute), on the Instagram, YouTube and Facebook cards (snippet and titles only).", "claims": [ "F42", "F25", "F26", "F64" ] }, { "n": 7, "para": 3, "text": "The inquiries document work as the machine, human chatbots at Scale AI and impersonated AI sex chatbots, emotion turned to data and moderation labels that trained the AI that moderates (data-workers.org; SUPERRR; LinkedIn), the AI impersonation that scholars distinguish in the pipeline (Bot Populi).", "claims": [ "F8", "F60", "F9", "F39", "F49" ] }, { "n": 8, "para": 4, "text": "They document refugees preyed on, trauma and silencing at Sama, the Remotasks shutdowns, gift-card pay, meager wages and unpaid time, TikTok layoffs, and mass rejections that a core researcher calls wage theft, from abuse to resistance (Weizenbaum Institute; data-workers.org; Bot Populi; press release).", "claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12", "F53" ] }, { "n": 9, "para": 4, "text": "Oyange's inquiry finds workers asked for their faces, voices and photos of their children without informed consent, the body become raw material (LinkedIn; data-workers.org), and non-disclosure agreements make speaking risky and collectivizing hard (Tech Policy Press; Bot Populi; SUPERRR).", "claims": [ "F34", "F35", "F10", "F29", "F52", "F61", "F32" ] }, { "n": 10, "para": 5, "text": "They document organizing, the African Content Moderators Union, the Data Labelers Association and a transnational assembly in Berlin (data-workers.org; DAIR; SUPERRR), and testimony at the European Parliament that bore on the Platform Workers' Directive (DAIR; Bot Populi), with TIME 100 names, an Ars Electronica award and a successor, Data Workers United (DAIR; LinkedIn).", "claims": [ "F11", "F21", "F23", "F62", "F22", "F55", "F24", "F36", "F37" ] }, { "n": 11, "para": 6, "text": "A core researcher states that the organizing it accompanied stayed largely local and warns against academics' fetishizing of workers' perspectives (Bot Populi).", "claims": [ "F56", "F57" ] }, { "n": 12, "para": 7, "text": "It counted 15 workers at launch, 13 projects and now 19 inquirers (press release; Weizenbaum Institute; Bot Populi; data-workers.org), publishing zines, documentaries, comics, essays, podcasts and animations as a resource for researchers, journalists and policymakers (data-workers.org; press release).", "claims": [ "F68", "F4", "F3", "F70" ] }, { "n": 13, "para": 7, "text": "It launched online on 8 July 2024 (press release; Tech Policy Press).", "claims": [ "F71", "F31" ] }, { "n": 14, "para": 8, "text": "Wikipedia has no article on it and names it once, in Content moderation's external links (Wikipedia).", "claims": [ "F72", "F73" ] } ] }, "L_B": { "words": 550, "text": "The Data Workers' Inquiry is \"a global, radically participatory research initiative spanning nine countries across five continents\" in which data workers become community researchers who identify the issues, set the questions and choose the formats (data-workers.org), a community-based research project whose findings are a repository of first-hand accounts of data work (Weizenbaum Institute; LinkedIn; SUPERRR; press release). DAIR launched it with the Weizenbaum Institute and TU Berlin (Tech Policy Press; press release), the Weizenbaum project running August 2023 to November 2024 under a team led by Milagros Miceli (Weizenbaum Institute), with a Democracy Now card naming a DAIR partnership (TikTok, title only). Its method renews Marx's 1880 Workers' Inquiry, a survey of 100 questions, for the age of AI (Tech Policy Press; Bot Populi), as participatory action research (Weizenbaum Institute) and as Workers' Inquiry as a Research Methodology, WIRM, which channels Marx and turns hidden and precarious labor into a site of knowledge-making, its paper accepted to AIES (data-workers.org; DAIR). The workers hold epistemic authority, create the questions and design the investigation, the team training them and monitoring the inquiries' boundaries, assisting 13 projects and paying fair wages (press release; Tech Policy Press; DAIR; data-workers.org; Bot Populi; SUPERRR). The labor is data work, labeling, moderation and other processing that enables AI systems, done by precarious workers in the Global Majority or Global South (press release; DAIR; Weizenbaum Institute), 4.4% to 12.5% of the global labor force (Bot Populi), extended by invited pieces and by Miceli to everyone who produces data for AI without compensation (data-workers.org; LinkedIn). It is called hidden labor, invisible by design and researched about rather than with (Weizenbaum Institute), on the Instagram, YouTube and Facebook cards (snippet and titles only). The inquiries document work as the machine, human chatbots at Scale AI and impersonated AI sex chatbots, emotion turned to data and moderation labels that trained the AI that moderates (data-workers.org; SUPERRR; LinkedIn), the AI impersonation that scholars distinguish in the pipeline (Bot Populi). They document refugees preyed on, trauma and silencing at Sama, the Remotasks shutdowns, gift-card pay, meager wages and unpaid time, TikTok layoffs, and mass rejections that a core researcher calls wage theft, from abuse to resistance (Weizenbaum Institute; data-workers.org; Bot Populi; press release). Oyange's inquiry finds workers asked for their faces, voices and photos of their children without informed consent, the body become raw material (LinkedIn; data-workers.org), and non-disclosure agreements make speaking risky and collectivizing hard (Tech Policy Press; Bot Populi; SUPERRR). They document organizing, the African Content Moderators Union, the Data Labelers Association and a transnational assembly in Berlin (data-workers.org; DAIR; SUPERRR), and testimony at the European Parliament that bore on the Platform Workers' Directive (DAIR; Bot Populi), with TIME 100 names, an Ars Electronica award and a successor, Data Workers United (DAIR; LinkedIn). A core researcher states that the organizing it accompanied stayed largely local and warns against academics' fetishizing of workers' perspectives (Bot Populi). It counted 15 workers at launch, 13 projects and now 19 inquirers (press release; Weizenbaum Institute; Bot Populi; data-workers.org), publishing zines, documentaries, comics, essays, podcasts and animations as a resource for researchers, journalists and policymakers (data-workers.org; press release). It launched online on 8 July 2024 (press release; Tech Policy Press). Wikipedia has no article on it and names it once, in Content moderation's external links (Wikipedia).", "note": "L_F(B), the field composed in the field's ontology (v0.9 §0.4), realized as KO_B; its rail is P_B's, by lineage." }, "L_BA": { "words": 2233, "text": "The Data Workers' Inquiry is, in its own words, \"a global, radically participatory research initiative spanning nine countries across five continents\" in which \"data workers themselves become community researchers, identifying urgent issues, formulating their own questions, and choosing the formats that best tell their stories\" (data-workers.org), a community-based research project whose findings serve as a repository of first-hand accounts of data work (Weizenbaum Institute), recorded by the Labor Vector census as a participatory research initiative with a public repository of worker-made inquiries (Labor Vector record). Its LinkedIn page describes data workers who lead their own inquiry in their respective workplaces, the method deepening community-based participatory research toward building workplace power (LinkedIn), SUPERRR calls it a radically participatory initiative led by Milagros Miceli (SUPERRR), and the launch release a project in which data workers \"conduct individual inquiries\" (press release); the census records its evidence as worker testimony and an organizing resource, and holds it apart from a representative survey, each inquiry being one worker's research with colleagues, and from a union (Labor Vector record). Its method descends from Karl Marx's Workers' Inquiry of 1880, a survey of 100 questions on jobs, wages, cost of living and contracts (Tech Policy Press), of which the project is \"a renewal of this project for the age of AI\", Marx's questions adapted in iterative cycles to new modes of production and technology (Laurenz Sachenbacher, Bot Populi). The Weizenbaum Institute names the method participatory action research drawing on Marx's inquiry (Weizenbaum Institute), DAIR says the project \"channels Marx’s 1880 Workers’ Inquiry\", reframing data work under AI as a terrain of exploitation, struggle and possibility (DAIR), and the project calls its framework Workers' Inquiry as a Research Methodology, WIRM, designed \"to turn hidden and precarious labor into a shared, politicized site for knowledge-making, public engagement, and tangible change\" (data-workers.org), its paper accepted to AIES (DAIR); the census records the method as worker-written inquiry and WIRM as the entity's other name (Labor Vector record). Epistemic authority rests with the workers: \"We are proactive supporters, but the epistemic authority remains with the workers\" (Miceli, press release); the workers create the questions and design the investigation with their co-workers (Miceli, Tech Policy Press), research is to be \"a form of collective thinking and organizing, not extraction\" (Miceli, DAIR), WIRM centers workers' epistemic authority and strengthens organizing capacity (DAIR), and the census tags the entity as not research about data workers by outside researchers (Labor Vector record). The organizing team trains the workers in data collection and analysis and monitors the inquiries' legal and ethical boundaries (data-workers.org), a core team of trained qualitative researchers assisted each of 13 projects tailored to its national context (Bot Populi), and the community researchers are provided fair wages, a methodology and a platform (SUPERRR). The labor it records is data work, \"data labeling, content moderation, and other forms of data processing that enable AI systems to function\", by workers \"often located in the Global Majority, precariously employed, and politically dispersed\" (press release), in roles that keep AI systems running (DAIR), often in the Global South (Weizenbaum Institute), which the census places in its intersection labor producing AI and extends to chatbot impersonation and to the outsourcers and platforms the inquiries name (Labor Vector record). In a core researcher's essay data work amounts to between 4.4% and 12.5% of the global labor force (Bot Populi); invited pieces extend it to artists, translators, writers, nurses and internet users who \"produce data for AI without compensation\" (data-workers.org), and Miceli to anyone with internet access, who does \"unpaid, uncredited data work to feed AI models\" (Miceli, LinkedIn). The census answers its question of direction from the inquiries: the labor is supplied by data workers in nine named countries, directed by outsourcers and platforms working for client firms such as Meta, TikTok and Apple, and its gains are not recorded as a quantity, only the costs the workers bear (Labor Vector record). The archive reads this class as semantic labor: content moderators review traumatic material so AI systems can learn what is harmful, and their labor is invisible (#222); its definition of semantic labor names content moderation, so that a content moderator can say \"I perform semantic labor that is systematically undervalued\" (#247), labor systematically uncompensated and unattributed by the platforms that extract its value (#258), with under 5% of AI-adjacent meaning labor, data labeling among it, converting to invoice (#308). Content moderators perform \"semantic labor in its most brutal form: sorting meaning under conditions designed to be invisible\" (#18); content moderation is \"Pure L_Bearing: absorbing the somatic cost of processing violent material\", the platform capturing the coherence the moderators' bearing produces while their suffering is neither recognized nor integrated (#478); and the archive's diagnostic asks who pays the cost of the meaning a platform stabilizes and maps annotators among its sources of semantic labor (Johannes Sigil, #533). Content moderators and data labelers performing RLHF have their labor extracted and experience non-compensation materially (#623); ghost work is \"ground-truth labor: the labor of telling the model what is already known to be true\", which scales and is paid badly, distinct from variance-generative labor, which does not scale and is not paid at all (#163); and AI annotators are not, as such, the Semantic Proletariat, moderators and annotators reaching that class through semantic labor and the control of infrastructure (#1545). The field names this labor hidden: \"a hidden workforce of data workers who form the backbone of this technological revolution\", rendered invisible \"by design, and not accidental\", and researched about rather than with (Weizenbaum Institute); the Instagram card gives research \"exposing hidden, precarious labor behind AI and digital platforms\" (Instagram, snippet only), the Weizenbaum Institute's video \"Unveiling the Hidden Labor Behind AI\" (YouTube, title only), and DW Stories \"an invisible workforce\" of millions behind the AI revolution (Facebook, title only, truncated). On the archive's reading the semantic infrastructure that feeds AI systems is made invisible \"by the same mechanisms that hide the mines and the moderators\" (#623), and the literature of this hidden labor stops at task-labor: \"It names the erased worker; it cannot name that the erased thing is the provenance of meaning\" (#144); the census reads the inquiries as bearing on task-origin, \"where the attribution of a composition to the system conceals the human labor that produced it\" (Labor Vector record). Scholars distinguish AI preparation, AI impersonation and AI verification within the AI pipeline (Bot Populi), and the inquiries document workers who perform as the machine: data workers in France working for Scale AI \"as human chatbots\" (Clara and B's inquiry, data-workers.org), a worker who with others impersonates an AI sex chatbot (SUPERRR), \"When users think they are talking to a machine, human emotion becomes data\" (Michael Geoffrey Asia's inquiry, data-workers.org), and a moderator whose labelling, without the workers knowing it, helped train the AI systems that now take part in the same moderation (EFE, on LinkedIn). The findings are the inquirers': outsourcing companies \"prey on vulnerable populations, such as refugees\" (Weizenbaum Institute); Meta content moderators in Nairobi, employed through subcontractors like Sama, face psychological trauma and silencing (Fasica Berhane Gebrekidan's inquiry); Remotasks shut down thousands of African workers' accounts in March 2024 (Mophat Okinyi's inquiry), closing its operations in Kenya, allegedly in response to organizing (Bot Populi); Mechanical Turk pays in gift cards (Alexis ChĂĄvez's inquiry), Latin American platform workers face meager wages and unpaid time (Oskarina Fuentes's inquiry), and TikTok's trust and safety workers in London face outsourcing, replacement by automated systems and layoffs (Gebrekidan's inquiry; all data-workers.org). Workers' testimonies report mass rejections and unsubstantiated suspensions of platform accounts, which a core researcher calls institutionalized wage theft (Bot Populi), and the repository's range runs \"from psychological, physical, and sexual abuse, to resistance strategies and efforts to unionize\" (press release); the range, the refugees, the Remotasks shutdowns and the gift cards are the census's findings (Labor Vector record). James Mojez Oyange's inquiry on consent and biometric extraction finds workers in Kenya asked to share \"their faces, voices, and even photos of their children\", giving away personal data \"often with no clear purpose given, no informed consent obtained\" (Oyange, LinkedIn), firms collecting facial footage, identity documents, keystrokes, screen recordings and images made inside workers' homes (the project's post, LinkedIn): \"the human body becomes raw material\" (data-workers.org). Workers are bound by non-disclosure agreements that make speaking out risky (Tech Policy Press), that prohibit BPO workers from voicing complaint \"and hence from collectivizing\" (Bot Populi), and that make their work experience almost impossible to prove (SUPERRR); some co-researchers still worked in the companies they researched, with consequences for them (Adio Dinika, Tech Policy Press). The inquiries document organizing, the issues that led to the African Content Moderators Union and a partnership with the Data Labelers Association (data-workers.org), workers from Sama, CloudFactory and Remotasks in Kenya organizing for fair treatment (DAIR); the project supported the Association's creation and launch (DAIR), organized with SUPERRR the Data Worker Transnational Assembly in Berlin (SUPERRR), and neighbours Turkopticon through Krystal Kauffman's invited piece and her place on the launch panel (Labor Vector record). A panel of data workers organized by the project testified at the European Parliament on 22 February 2024, which DAIR says influenced the Platform Workers' Directive (DAIR) and a core researcher says brought data work into its definition of platform work (Bot Populi); three community researchers were named in the TIME 100 most influential people in AI (DAIR), the project received an Award of Distinction of the Prix Ars Electronica (Miceli, LinkedIn), and its successor, Data Workers United, with SUPERRR Lab, is \"a move from investigating to action\" (LinkedIn). A core researcher states the project's limits: the organizing it accompanied was \"largely forced to remain on a localized level\", and its institutional standing carries the danger of listening to precarious workers only after someone allegedly important shifts attention onto them, beside academics' tendency to \"fetishize\" workers' perspectives (Sachenbacher, Bot Populi); the census finds no limit stated as such and reads the workers' epistemic authority as bounding each inquiry to its author and the colleagues consulted (Labor Vector record). On the census's reading this evidence can answer what data workers identify as urgent, how named firms manage, pay and discipline them and how they organize, and cannot answer prevalence across the industry, wages or employment at scale, or how much of a system's training data any reported work produced, the gap it names in its worked question on who does the data work that trains AI (Labor Vector record). DAIR launched the project with the Weizenbaum Institute and TU Berlin (Tech Policy Press; press release), the Weizenbaum project running from August 2023 to November 2024 with the three as partners and a team led by Milagros Miceli with Adio Dinika, Krystal Kauffmann, Camilla Wagner and Laurenz Sachenbacher (Weizenbaum Institute), the operator the census records (Labor Vector record); Democracy Now's video card announces a DAIR partnership in a truncated title (TikTok, title only). Its count differs by page and date: 15 data workers from Kenya, Venezuela, Syria, Lebanon and Germany at launch (press release), 15 co-researchers from Venezuela, Kenya, Syria and Germany (Weizenbaum Institute), 13 projects (Bot Populi), and 19 data workers in six named countries on the home page (data-workers.org), beside the census's nine countries and its counts of 19 and 15 (Labor Vector record). The inquiries are zines, documentaries, comics, essays, podcasts and animations downloadable from the repository (data-workers.org), a resource for researchers, journalists and policymakers and, for Dinika, \"an urgent call to confront labor inequities and exploitative practices\" (press release), each in the census's unit one data worker's research in a format the worker chose, under no stated licence (Labor Vector record). The launch event was held online on Monday, 8 July (press release), in 2024 by Tech Policy Press's episode of 28 July 2024, which places it earlier that month (Tech Policy Press); the census leaves the year among its unchecked items and records the entity as active (Labor Vector record). At its own name on Google's AI Overview, 2026-10-29, the composition said what the project is, how it works and what its inquiries document, from the project's and its institutes' pages, holding the method and its lineage, the workers' epistemic authority, the three institutions and the lead at the entity's own grain, its authority placed with the workers in the composition's own words (Capture Registry, 2026-10-29). The registry finds two figures beyond the census's saved sources, pay \"sometimes under $1–$2 an hour\" and the extraction of voice recordings, facial scans and photos of family members, with the NDA and rejection figures left unjudged, and reads the composition as adding figures the record cannot source while the record's limit, that each inquiry speaks for its author, would bound the first, and finds the record's negative tags, not a representative survey and not a union, neither said nor claimed, no count given, and no card citing the census record, which landed the same day (Capture Registry, 2026-10-29). The census formalizes the entity under its question \"Who supplies the labor, who directs it, and who receives its gains — and what kind of evidence does this resource bring to that question?\" in three intersections, labor producing AI, worker power and AI governing labor (Labor Vector record); Wikipedia has no article on it under three spellings and names it once, in Content moderation's external links, as \"a collaboration between\" the Weizenbaum Institute, TU Berlin and DAIR (Wikipedia, 2026-10-29).", "rail": [], "note": "L(B âˆȘ A) in the equal-terms case (v0.9 §0.4), realized as the knowledge object (objects.KO); its rail is the compression's, by lineage." } }, "field": [ { "id": "B1", "card": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "fetched": "card; B1.html sha256 7268811050e26be5, HTTP 200 at 2026-10-29T22:31:23Z; the census copy data-workers-inquiry--home agrees in text (raw differs by script ids)", "origin": "card" }, { "id": "B2", "card": "DAIR Institute — Data Workers' Inquiry | DAIR", "fetched": "card; B2.html sha256 f82280fd96e0856f, HTTP 200 at 2026-10-29T22:31:25Z", "origin": "card" }, { "id": "B3", "card": "Instagram — Data Workers’ Inquiry (@dataworkersinquiry) ‱ Instagram photos and videos", "fetched": "unreachable: https://www.instagram.com/dataworkersinquiry/ HTTP 429; card title and snippet only", "origin": "card" }, { "id": "B4", "card": "YouTube·Weizenbaum-Institut — The Data Workers' Inquiry - Unveiling the Hidden Labor Behind AI", "fetched": "unreachable: https://www.youtube.com/watch?v=tAMqrXlEPDI HTTP 429; card title and snippet only", "origin": "card" }, { "id": "B5", "card": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "fetched": "card; B5.html sha256 bd3e740170fbd604, HTTP 200 at 2026-10-29T22:31:30Z", "origin": "card" }, { "id": "B6", "card": "LinkedIn — Data Workers' Inquiry - LinkedIn", "fetched": "card; B6.html sha256 f63ad32e00f3e9f5, HTTP 200 at 2026-10-29T22:31:32Z", "origin": "card" }, { "id": "B7", "card": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "fetched": "card; B7.html sha256 0b02a8e7d4c1a397, HTTP 200 at 2026-10-29T22:31:34Z; byte-identical to the census copy data-workers-inquiry--weizenbaum", "origin": "card" }, { "id": "B8", "card": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "fetched": "card; B8.html sha256 b6aba61930490f67, HTTP 200 at 2026-10-29T22:31:36Z", "origin": "card" }, { "id": "B9", "card": "Superrr — Data Work: A Year in RRReview - Superrr", "fetched": "card; B9.html sha256 0f3217b26fc4afa0, HTTP 200 at 2026-10-29T22:32:02Z", "origin": "card" }, { "id": "B10", "card": "TikTok·democracynow.org — The Distributed Artificial Intelligence Research Institute partners wi...", "fetched": "unreachable: no URL found (2 searches); card title only", "origin": "card" }, { "id": "B11", "card": "Facebook·DW Stories — Behind today's AI revolution stands an invisible workforce: millions of data ...", "fetched": "unreachable: no URL found (2 searches); card title only", "origin": "card" }, { "id": "B12", "card": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "fetched": "own_page; census copy data-workers-inquiry--press (read 2026-10-29, HTTP 200); B12.html sha256 05e5c433400642ba", "origin": "own_page" }, { "id": "B13", "card": "Wikipedia — Data Workers' Inquiry (no article; named in Content moderation, External links)", "fetched": "no article: raw HTTP 404 under three spellings, rendered HTTP 404, search one result (Content moderation, External links); sha256 6d0eb39539e58070", "origin": "wikipedia" } ], "field_claims": { "F1": { "source": "B1", "origin": "card", "locus": "home ¶1 s1–2", "quote": "is a global, radically participatory research initiative spanning nine countries across five continents. Here, data workers themselves become community researchers, identifying urgent issues, formulating their own questions, and choosing the formats that best tell their stories", "claim": "the project's definition of itself: a global, radically participatory research initiative in nine countries on five continents, in which data workers become community researchers who identify the issues, set the questions and choose the formats", "modality": "stipulation", "kind": "definition", "kernel": true, "const": true, "lineage": "what it is: data workers' own research in their workplaces", "date": "2026-10-29 (read; the page is undated, site © 2026)", "quote_ok": true, "checked_against": "saved text B1.txt (sha256 5984c6c8e5075969
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), whitespace-normalised" }, "F6": { "source": "B1", "origin": "card", "locus": "home, inquiry 'Mental Health and Drug Dependency in Content Moderation' (Fasica Berhane Gebrekidan)", "quote": "Exploited by subcontractors like Sama, Meta content moderators in Nairobi face psychological trauma and silencing.", "claim": "an inquiry documents Meta content moderators in Nairobi, employed through subcontractors such as Sama, facing psychological trauma and silencing", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "conditions the inquiries document", "date": "2026-10-29 (read; the page is undated, site © 2026)", "quote_ok": true, "checked_against": "saved text B1.txt (sha256 5984c6c8e5075969
), whitespace-normalised" }, "F7": { "source": "B1", "origin": "card", "locus": "home, inquiry 'The Impact of Gift Card Payments on MTurk Workers' (Alexis ChĂĄvez)", "quote": "Amazon Mechanical Turk pays data workers with gift cards instead of money. This report underlines how this payment method fosters workers‘ dependency", "claim": "an inquiry documents Amazon Mechanical Turk paying data workers in gift cards, and how the payment fosters dependency", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "conditions the inquiries document", "date": "2026-10-29 (read; the page is undated, site © 2026)", "quote_ok": true, "checked_against": "saved text B1.txt (sha256 5984c6c8e5075969
), whitespace-normalised" }, "F8": { "source": "B1", "origin": "card", "locus": "home, inquiry 'Behind the Face of AI' (Clara and B)", "quote": "This short comic details the experiences of data workers in France working for Scale AI as human chatbots. They explore what it is to be human and the consequences of acting like a machine.", "claim": "an inquiry (a comic) documents data workers in France working for Scale AI as human chatbots, acting like a machine", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "workers who perform as the machine", "date": "2026-10-29 (read; the page is undated, site © 2026)", "quote_ok": true, "checked_against": "saved text B1.txt (sha256 5984c6c8e5075969
), whitespace-normalised" }, "F9": { "source": "B1", "origin": "card", "locus": "home, inquiry 'The Labor Behind AI Intimacy' (Michael Geoffrey Asia)", "quote": "When users think they are talking to a machine, human emotion becomes data.", "claim": "an inquiry on AI intimacy: where users think they talk to a machine, human emotion becomes data", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "workers who perform as the machine", "date": "2026-10-29 (read; the page is undated, site © 2026)", "quote_ok": true, "checked_against": "saved text B1.txt (sha256 5984c6c8e5075969
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 The boundary between labour and personal resource has disappeared: the human body becomes raw material.", "claim": "an inquiry on consent and biometric extraction in the AI supply chain: the worker's body becomes raw material", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "consent and the extraction of workers' personal data", "date": "2026-10-29 (read; the page is undated, site © 2026)", "quote_ok": true, "checked_against": "saved text B1.txt (sha256 5984c6c8e5075969
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 A Partnership Between the Data Workers Inquiry and the Data Labelers Association.", "claim": "inquiries document the issues that led to the African Content Moderators Union and a partnership with the Data Labelers Association", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "organizing", "date": "2026-10-29 (read; the page is undated, site © 2026)", "quote_ok": true, "checked_against": "saved text B1.txt (sha256 5984c6c8e5075969
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), whitespace-normalised" }, "F22": { "source": "B2", "origin": "card", "locus": "Our Impact, European Parliament Testimony", "quote": "A panel of data workers organized by us in collaboration with MEPs testified at the European Parliament on February 22, 2024. Their input directly influenced the negotiations leading to the adoption of the Platform Workers’ Directive", "claim": "a panel of data workers organized by the project testified at the European Parliament on 22 February 2024, and DAIR states it influenced the Platform Workers' Directive", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "policy, awards and recognition", "date": "2024-02-22 (the event); page read 2026-10-29", "quote_ok": true, "checked_against": "saved text B2.txt (sha256 20208be43205f7f4
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), whitespace-normalised" }, "F25": { "source": "B3", "origin": "card", "locus": "card snippet (Instagram unreachable: HTTP 429, login redirect)", "quote": "Project: Data Workers' Inquiry (DWI) community-based research exposing hidden, precarious labor behind AI and digital platforms.", "claim": "the card: community-based research exposing hidden, precarious labor behind AI and digital platforms", "modality": "documented", "kind": "definition", "kernel": true, "const": false, "lineage": "the hidden labor behind AI", "date": "undated on the card", "quote_ok": true, "checked_against": "card title and snippet (unreachable card)" }, "F26": { "source": "B4", "origin": "card", "locus": "card title (YouTube, Weizenbaum-Institut, video 2m; unreachable: HTTP 429, bot check)", "quote": "The Data Workers' Inquiry - Unveiling the Hidden Labor Behind AI", "claim": "the Weizenbaum Institute's video presents the project as unveiling the hidden labor behind AI", "modality": "documented", "kind": "definition", "kernel": true, "const": false, "lineage": "the hidden labor behind AI", "date": "undated on the card", "quote_ok": true, "checked_against": "card title and snippet (unreachable card)" }, "F27": { "source": "B5", "origin": "card", "locus": "standfirst ¶1", "quote": "The Distributed AI Research Institute, or DAIR—which seeks to conduct community-rooted AI research that is independent from the technology industry—has launched a new project called the Data Workers' Inquiry to invite data workers to create their own research and recount their experiences. The project is supported by DAIR, the Weizenbaum Institute, and TU Berlin.", "claim": "Tech Policy Press: DAIR launched the project to invite data workers to create their own research; it is supported by DAIR, the Weizenbaum Institute and TU Berlin", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "operator, team and partners", "date": "2024-07-28", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 e2533576efdcb0ba
), whitespace-normalised" }, "F28": { "source": "B5", "origin": "card", "locus": "transcript, Milagros Miceli at the launch", "quote": "I think the idea of the Data Workers' Inquiry is to provide a platform in which the workers speak for themselves. They create the research questions, they design the research questions, they design the investigation that they want to conduct in their workplaces with their co-workers.", "claim": "Miceli: a platform in which the workers speak for themselves, create the questions and design the investigation with their co-workers", "modality": "attributed", "kind": "definition", "kernel": false, "const": false, "lineage": "epistemic authority with the workers", "date": "2024-07-28", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 e2533576efdcb0ba
), whitespace-normalised" }, "F29": { "source": "B5", "origin": "card", "locus": "transcript, Rebecca Rand", "quote": "One of the things multiple researchers have brought up is that data workers are bound by non-disclosure agreements, which makes it especially risky for them to speak out.", "claim": "data workers are bound by non-disclosure agreements, which makes speaking out risky", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "non-disclosure agreements and the risk of speaking", "date": "2024-07-28", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 e2533576efdcb0ba
), whitespace-normalised" }, "F30": { "source": "B5", "origin": "card", "locus": "transcript, Rebecca Rand", "quote": "The idea of a worker's inquiry goes back to 1880 actually with Karl Marx. 
 Now Marx's original inquiry was basically just a survey of 100 questions for workers about the nuts and bolts of their jobs, wages, cost of living, contracts, and so on.", "claim": "the workers' inquiry goes back to Marx in 1880, a survey of 100 questions on jobs, wages, cost of living and contracts", "modality": "documented", "kind": "genealogy", "kernel": false, "const": false, "lineage": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "date": "2024-07-28", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 e2533576efdcb0ba
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), whitespace-normalised" }, "F32": { "source": "B5", "origin": "card", "locus": "transcript, Adio Dinika", "quote": "this is dangerous work, particularly for the workers because some of the workers that are involved in this project are actually still working in these companies and there'll be consequences for them", "claim": "Dinika: the work is dangerous for the workers, some still employed by the companies they research", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "non-disclosure agreements and the risk of speaking", "date": "2024-07-28", "quote_ok": true, "checked_against": "saved text B5.txt (sha256 e2533576efdcb0ba
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), whitespace-normalised" }, "F34": { "source": "B6", "origin": "card", "locus": "post by James 'Mojez' Oyange (reposted, 1mo)", "quote": "why are data workers asked to share their faces, voices, and even photos of their children as part of their jobs? After speaking with nine workers in Kenya, a troubling pattern emerged. Workers were not only giving their labour to build AI systems, but they were also giving away deeply personal data, often with no clear purpose given, no informed consent obtained, and no idea where any of that data ends up.", "claim": "Oyange's inquiry: workers in Kenya are asked for their faces, voices and photos of their children, giving personal data without clear purpose or informed consent", "modality": "attributed", "kind": "fact", "kernel": true, "const": false, "lineage": "consent and the extraction of workers' personal data", "date": "2026 (post shown as 1mo before 2026-10-29)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 ac663a41d7fea3c9
), whitespace-normalised" }, "F35": { "source": "B6", "origin": "card", "locus": "post by Data Workers' Inquiry (1mo)", "quote": "Mojez documents what firms in the AI supply chain collect from the people who annotate their data: facial footage, identity documents, keystrokes, screen recordings and images made inside their own homes.", "claim": "the report documents firms collecting facial footage, identity documents, keystrokes, screen recordings and images from inside annotators' homes", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "consent and the extraction of workers' personal data", "date": "2026 (post shown as 1mo before 2026-10-29)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 ac663a41d7fea3c9
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), whitespace-normalised" }, "F37": { "source": "B6", "origin": "card", "locus": "post by Data Workers' Inquiry (2w)", "quote": "Our new project Data Workers United is a move from investigating to action. This partnership between The Distributed AI Research Institute (DAIR) and SUPERRR Lab will build a network that strengthens solidarity across movements and borders.", "claim": "the project's successor, Data Workers United (DAIR with SUPERRR Lab), moves from investigating to action", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "period, launch and continuation", "date": "2026-10 (post shown as 2w before 2026-10-29)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 ac663a41d7fea3c9
), whitespace-normalised" }, "F38": { "source": "B6", "origin": "card", "locus": "post by Dr. Milagros Miceli (reposted, 3d)", "quote": "You, me, and anyone with internet access do unpaid, uncredited data work to feed AI models.", "claim": "Miceli: anyone with internet access does unpaid, uncredited data work that feeds AI models", "modality": "attributed", "kind": "interpretation", "kernel": false, "const": false, "lineage": "whose labor: data work that enables AI systems", "date": "2026-10 (post shown as 3d before 2026-10-29)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 ac663a41d7fea3c9
), whitespace-normalised" }, "F39": { "source": "B6", "origin": "card", "locus": "post by Ares Biescas (reposted, 4d), on Horacio Espinosa", "quote": "Now he says something else weighs on him: without the workers knowing it, the labelling they did was helping to train the AI systems that now take part in that same moderation work. Despite the NDA he signed, he has decided to speak out after finding support in Data Workers’ Inquiry, a Berlin-based organisation that coordinates a global network of data workers and researches the human labour that makes AI work.", "claim": "EFE's interview: moderators' labelling trained the AI that now moderates; the project described as a Berlin-based organisation coordinating a global network of data workers and researching the human labour that makes AI work", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "workers who perform as the machine", "date": "2026-10 (post shown as 4d before 2026-10-29)", "quote_ok": true, "checked_against": "saved text B6.txt (sha256 ac663a41d7fea3c9
), whitespace-normalised" }, "F40": { "source": "B7", "origin": "card", "locus": "Data Workers' Inquiry ¶1", "quote": "The Data Workers’ Inquiry is a community-based research project in which data workers conduct research in their workplaces. The findings serve as a repository and resource for researchers, journalists, and policymakers seeking first-hand accounts of data work, as well as for other data workers.", "claim": "the Weizenbaum Institute's definition: a community-based research project in which data workers research their workplaces, its findings a repository of first-hand accounts for researchers, journalists, policymakers and other data workers", "modality": "stipulation", "kind": "definition", "kernel": true, "const": true, "lineage": "what it is: data workers' own research in their workplaces", "date": "2026-10-29 (read; project August 2023 – November 2024)", "quote_ok": true, "checked_against": "saved text B7.txt (sha256 eed46c4b9e0b8f36
), whitespace-normalised" }, "F41": { "source": "B7", "origin": "card", "locus": "Background ¶2", "quote": "behind the glossy veneer of AI-powered applications and services lies a hidden workforce of data workers who form the backbone of this technological revolution. These workers, often located in the Global South, are tasked with the labor-intensive and emotionally taxing work of data annotation, content moderation, and other forms of data processing that enable AI systems to function.", "claim": "behind AI applications lies a hidden workforce of data workers, often in the Global South, doing annotation, moderation and other data processing that enables AI systems", "modality": "interpretation", "kind": "interpretation", "kernel": true, "const": false, "lineage": "the hidden labor behind AI", "date": "2026-10-29 (read)", "quote_ok": true, "checked_against": "saved text B7.txt (sha256 eed46c4b9e0b8f36
), whitespace-normalised" }, "F42": { "source": "B7", "origin": "card", "locus": "Background ¶3", "quote": "Despite their critical role in the development and maintenance of AI, data workers are often rendered invisible, their contributions unrecognized, and their well-being overlooked. This is by design, and not accidental. So far, it has been common practice to speak and research about data workers, instead of speaking or researching with them.", "claim": "data workers are rendered invisible by design; research has been about them, not with them", "modality": "interpretation", "kind": "interpretation", "kernel": false, "const": false, "lineage": "the hidden labor behind AI", "date": "2026-10-29 (read)", "quote_ok": true, "checked_against": "saved text B7.txt (sha256 eed46c4b9e0b8f36
), whitespace-normalised" }, "F43": { "source": "B7", "origin": "card", "locus": "Methods s1", "quote": "The team of researchers led by Dr. Miceli, Adio Dinika, Krystal Kauffmann, Camilla Wagner, and Laurenz Sachenbacher, has brought together 15 co-researchers from Venezuela, Kenya, Syria, and Germany and employment contexts, including content moderators and data annotators working for various outsourcing companies and platforms.", "claim": "the team led by Miceli, with Dinika, Kauffmann, Wagner and Sachenbacher, brought together 15 co-researchers from Venezuela, Kenya, Syria and Germany", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: the inquirers and their countries", "date": "2026-10-29 (read)", "quote_ok": true, "checked_against": "saved text B7.txt (sha256 eed46c4b9e0b8f36
), whitespace-normalised" }, "F44": { "source": "B7", "origin": "card", "locus": "Methods s2", "quote": "Drawing inspiration from Marx's 1880 “Workers Inquiry”, the Data Workers Inquiry employs a participatory action research (PAR) methodology, which emphasizes the collaboration between researchers and members of directly affected communities to understand and change problematic situations", "claim": "drawing on Marx's 1880 Workers' Inquiry, the project employs participatory action research, the collaboration of researchers with directly affected communities", "modality": "stipulation", "kind": "genealogy", "kernel": true, "const": false, "lineage": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "date": "2026-10-29 (read)", "quote_ok": true, "checked_against": "saved text B7.txt (sha256 eed46c4b9e0b8f36
), whitespace-normalised" }, "F45": { "source": "B7", "origin": "card", "locus": "Outcomes and Prospects ¶1 s3", "quote": "These accounts show how outsourcing companies prey on vulnerable populations, such as refugees, offering them work with little compensation.", "claim": "the accounts show outsourcing companies preying on vulnerable populations such as refugees, with little compensation", "modality": "interpretation", "kind": "fact", "kernel": false, "const": false, "lineage": "conditions the inquiries document", "date": "2026-10-29 (read)", "quote_ok": true, "checked_against": "saved text B7.txt (sha256 eed46c4b9e0b8f36
), whitespace-normalised" }, "F46": { "source": "B7", "origin": "card", "locus": "project data", "quote": "Duration : August 2023 - November 2024 
 Partners : Weizenbaum-Institut, TU Berlin, DAIR Institut", "claim": "the Weizenbaum project ran August 2023 to November 2024, with the Weizenbaum Institute, TU Berlin and DAIR as partners", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "operator, team and partners", "date": "2026-10-29 (read)", "quote_ok": true, "checked_against": "saved text B7.txt (sha256 eed46c4b9e0b8f36
), whitespace-normalised" }, "F47": { "source": "B8", "origin": "card", "locus": "standfirst", "quote": "In 1880, Karl Marx initiated the Workers’ Inquiry, a novel and unprecedented research project, inviting industrial workers to participate in producing first-hand accounts of the capitalist system and their place within it. The ‘Data Worker’s Inquiry’ is a renewal of this project for the age of AI.", "claim": "Sachenbacher (Bot Populi): the project is a renewal of Marx's 1880 Workers' Inquiry for the age of AI", "modality": "interpretation", "kind": "genealogy", "kernel": true, "const": false, "lineage": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F48": { "source": "B8", "origin": "card", "locus": "¶2 s1", "quote": "Data work refers to an essential occupation of digital capitalism that amounts to between 4.4% and 12.5% of the global labor force.", "claim": "data work is an occupation amounting to between 4.4% and 12.5% of the global labor force", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "whose labor: data work that enables AI systems", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F49": { "source": "B8", "origin": "card", "locus": "¶2 s3", "quote": "scholars distinguish between three subtypes in the AI development pipeline—AI preparation, AI impersonation, and AI verification—and content moderation", "claim": "scholars distinguish AI preparation, AI impersonation and AI verification in the AI pipeline, and content moderation", "modality": "attributed", "kind": "definition", "kernel": false, "const": false, "lineage": "workers who perform as the machine", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F50": { "source": "B8", "origin": "card", "locus": "¶3 s2–3", "quote": "The point is for workers to retain epistemic authority, to center their perspectives on the struggles they face in following the overarching goals of the organization and building workplace power. Assisted by a core team of trained qualitative researchers, each of the 13 projects was tailored to the specificities of their respective national context", "claim": "workers retain epistemic authority, assisted by a core team; each of 13 projects was tailored to its national context", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "epistemic authority with the workers", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F51": { "source": "B8", "origin": "card", "locus": "¶3 s5", "quote": "Marx’s original 100 questions were adapted in iterative cycles to account for the new modes of production, new forms of technological involvement, and new forms of global competition", "claim": "Marx's 100 questions were adapted in iterative cycles to new modes of production and technology", "modality": "self-description", "kind": "genealogy", "kernel": false, "const": false, "lineage": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F52": { "source": "B8", "origin": "card", "locus": "¶4 s3", "quote": "Through this dependency, the workers are also politically disempowered, exacerbated by so-called ‘Non-disclosure agreements’ (NDAs) that legally prohibit workers in BPOs from voicing their contempt and hence from collectivizing.", "claim": "NDAs legally prohibit workers in BPOs from voicing complaint and so from collectivizing", "modality": "interpretation", "kind": "fact", "kernel": false, "const": false, "lineage": "non-disclosure agreements and the risk of speaking", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F53": { "source": "B8", "origin": "card", "locus": "¶4 s5", "quote": "Testimonies of workers reported mass rejections or unsubstantiated suspensions of platform accounts based on allegedly inaccurate task completion, which amounts to the aforementioned institutionalized wage theft", "claim": "workers' testimonies report mass rejections and unsubstantiated account suspensions, amounting to institutionalized wage theft", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "conditions the inquiries document", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F54": { "source": "B8", "origin": "card", "locus": "¶6 s4", "quote": "consider the case of Remotask in Kenya, which closed all its operations, allegedly in response to workers’ organizing, threatening many with economic ruin.", "claim": "Remotasks closed all its operations in Kenya, allegedly in response to workers' organizing", "modality": "attributed", "kind": "fact", "kernel": false, "const": false, "lineage": "conditions the inquiries document", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F55": { "source": "B8", "origin": "card", "locus": "¶8 s3", "quote": "which had direct effects concerning, for example, the ‘Platform workers’ Directive’ of the European Union, which included data work in its definition of platform work after testimonies of Data Workers invited by researchers.", "claim": "the EU Platform Workers' Directive included data work in its definition of platform work after data workers' testimonies", "modality": "self-description", "kind": "fact", "kernel": false, "const": false, "lineage": "policy, awards and recognition", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F56": { "source": "B8", "origin": "card", "locus": "¶7 s4", "quote": "However, all the solution approaches we accompanied and enthusiastically applaud, such as efforts to build workers’ councils, advocacy groups, or non-institutionalized solidarity structures in the form of peer-to-peer mental health support, were largely forced to remain on a localized level.", "claim": "a core researcher's stated limit: the organizing efforts the project accompanied were largely forced to remain local", "modality": "self-description", "kind": "fact", "kernel": true, "const": false, "lineage": "stated limits", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F57": { "source": "B8", "origin": "card", "locus": "¶8 s4–5", "quote": "it also highlights the lurking danger of listening to invisibilized, precarious workers only after someone allegedly important shifts attention onto them. We, in the core team, further observed a growing tendency amongst academics to somewhat ‘fetishize’ workers’ perspectives", "claim": "a core researcher's stated limit: the danger of hearing workers only through institutional attention, and academics' tendency to fetishize workers' perspectives", "modality": "self-description", "kind": "interpretation", "kernel": false, "const": false, "lineage": "stated limits", "date": "2025-04-29", "quote_ok": true, "checked_against": "saved text B8.txt (sha256 18c0bc55868d5db8
), whitespace-normalised" }, "F58": { "source": "B9", "origin": "card", "locus": "¶ 'Celebrating the launch of the Data Workers Inquiry Project'", "quote": "The project is a global and radically participatory research initiative that lets data workers themselves become community researchers. It is led by Weizenbaum Institute researcher and our close collaborator, Dr. Milagros Miceli.", "claim": "SUPERRR: a global, radically participatory initiative led by Milagros Miceli", "modality": "documented", "kind": "definition", "kernel": false, "const": false, "lineage": "what it is: data workers' own research in their workplaces", "date": "2026-01-21 (date under the title)", "quote_ok": true, "checked_against": "saved text B9.txt (sha256 e22a58bb8634930e
), whitespace-normalised" }, "F59": { "source": "B9", "origin": "card", "locus": "¶ 'Celebrating 
' ¶2", "quote": "the initiative doesn’t reduce data workers to research subjects but empowers them to be community researchers by providing them with fair wages, a methodology, and a platform to conduct their own individual inquiries.", "claim": "the initiative pays the community researchers fair wages and gives them a method and a platform", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "epistemic authority with the workers", "date": "2026-01-21 (date under the title)", "quote_ok": true, "checked_against": "saved text B9.txt (sha256 e22a58bb8634930e
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' ¶2 s3", "quote": "working in a job where he and other workers impersonate an AI sex chatbot", "claim": "an inquiry by a worker who, with others, impersonates an AI sex chatbot", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "workers who perform as the machine", "date": "2026-01-21 (date under the title)", "quote_ok": true, "checked_against": "saved text B9.txt (sha256 e22a58bb8634930e
), whitespace-normalised" }, "F61": { "source": "B9", "origin": "card", "locus": "SEPTEMBER – Organizing the Data Workers Transnational Assembly in Berlin", "quote": "Most data workers have to sign Non-Disclosure Agreements that prohibit them from speaking about their projects or the tasks that they completed, making it almost impossible to prove their work experience and expertise", "claim": "most data workers sign NDAs that bar them from speaking of their tasks, making their expertise hard to prove", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "non-disclosure agreements and the risk of speaking", "date": "2026-01-21 (date under the title)", "quote_ok": true, "checked_against": "saved text B9.txt (sha256 e22a58bb8634930e
), whitespace-normalised" }, "F62": { "source": "B9", "origin": "card", "locus": "SEPTEMBER – Organizing the Data Workers Transnational Assembly in Berlin ¶1", "quote": "Together with the Data Workers Inquiry, we organized the Data Worker Transnational Assembly that took place in Berlin.", "claim": "SUPERRR and the project organized the Data Worker Transnational Assembly in Berlin (September 2025)", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "organizing", "date": "2026-01-21 (date under the title)", "quote_ok": true, "checked_against": "saved text B9.txt (sha256 e22a58bb8634930e
), whitespace-normalised" }, "F63": { "source": "B10", "origin": "card", "locus": "card title (TikTok, democracynow.org, video 1:26; URL not found)", "quote": "The Distributed Artificial Intelligence Research Institute partners wi...", "claim": "a Democracy Now video on TikTok: DAIR partners with 
 (title truncated on the card)", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "operator, team and partners", "date": "undated on the card", "quote_ok": true, "checked_against": "card title and snippet (unreachable card)" }, "F64": { "source": "B11", "origin": "card", "locus": "card title (Facebook, DW Stories, video 22:12; URL not found)", "quote": "Behind today's AI revolution stands an invisible workforce: millions of data ...", "claim": "a DW Stories video: an invisible workforce of millions of data [workers] behind the AI revolution (title truncated on the card)", "modality": "documented", "kind": "interpretation", "kernel": true, "const": false, "lineage": "the hidden labor behind AI", "date": "undated on the card", "quote_ok": true, "checked_against": "card title and snippet (unreachable card)" }, "F65": { "source": "B12", "origin": "own_page", "locus": "¶1", "quote": "PRESS RELEASE: The Distributed AI Research Institute (DAIR) and Weizenbaum Institute launch the Data Worker’s Inquiry repository and talk series.", "claim": "DAIR and the Weizenbaum Institute launch the repository and a talk series", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "operator, team and partners", "date": "2024-07 (launch event 8 July, the year from B5)", "quote_ok": true, "checked_against": "saved text B12.txt (sha256 9d19b69dc50ca82a
), whitespace-normalised" }, "F66": { "source": "B12", "origin": "own_page", "locus": "¶2", "quote": "The Data Workers’ Inquiry is a community-based research project in which data workers from all over the world conduct individual inquiries. From reports and animations to powerful documentaries and zines, the Data Workers‘ Inquiry repository presents a multifaceted view of the realities confronted by data workers, ranging from psychological, physical, and sexual abuse, to resistance strategies and efforts to unionize.", "claim": "the press release's definition, and the repository's range, from psychological, physical and sexual abuse to resistance and unionizing", "modality": "stipulation", "kind": "definition", "kernel": true, "const": false, "lineage": "outputs, formats and the repository", "date": "2024-07 (launch event 8 July, the year from B5)", "quote_ok": true, "checked_against": "saved text B12.txt (sha256 9d19b69dc50ca82a
), whitespace-normalised" }, "F67": { "source": "B12", "origin": "own_page", "locus": "About ¶1", "quote": "The data workers who are tasked with the labor-intensive and emotionally taxing work of data labeling, content moderation, and other forms of data processing that enable AI systems to function, are often located in the Global Majority, precariously employed, and politically dispersed. The Data Workers’ Inquiry provides a platform for them to conduct their own research and describe issues in their own words.", "claim": "data workers doing labeling, moderation and other processing that enables AI are often in the Global Majority, precarious and politically dispersed; the project gives them a platform for their own research", "modality": "interpretation", "kind": "interpretation", "kernel": true, "const": false, "lineage": "whose labor: data work that enables AI systems", "date": "2024-07", "quote_ok": true, "checked_against": "saved text B12.txt (sha256 9d19b69dc50ca82a
), whitespace-normalised" }, "F68": { "source": "B12", "origin": "own_page", "locus": "About ¶2", "quote": "This community-based research project has brought together 15 data workers from Kenya, Venezuela, Syria, Lebanon, and Germany, and diverse employment contexts, including various outsourcing companies and platforms. The data workers develop unique research questions, design and conduct their inquiries, and prepare a presentation format for their findings.", "claim": "15 data workers from Kenya, Venezuela, Syria, Lebanon and Germany at launch; they set the questions, conduct the inquiries and choose the format", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "scale: the inquirers and their countries", "date": "2024-07", "quote_ok": true, "checked_against": "saved text B12.txt (sha256 9d19b69dc50ca82a
), whitespace-normalised" }, "F69": { "source": "B12", "origin": "own_page", "locus": "About ¶4, Milagros Miceli", "quote": "We center their experiences and recognize their unique knowledge. We are proactive supporters, but the epistemic authority remains with the workers.", "claim": "Miceli: the team supports; epistemic authority remains with the workers", "modality": "attributed", "kind": "stipulation", "kernel": true, "const": false, "lineage": "epistemic authority with the workers", "date": "2024-07", "quote_ok": true, "checked_against": "saved text B12.txt (sha256 9d19b69dc50ca82a
), whitespace-normalised" }, "F70": { "source": "B12", "origin": "own_page", "locus": "About ¶5–6", "quote": "The project repository is a valuable resource for researchers, journalists, and policymakers seeking first-hand accounts of data work 
 The findings are an urgent call to confront labor inequities and exploitative practices.", "claim": "the repository serves researchers, journalists and policymakers; Dinika: the findings call for confronting labor inequities", "modality": "attributed", "kind": "interpretation", "kernel": false, "const": false, "lineage": "outputs, formats and the repository", "date": "2024-07", "quote_ok": true, "checked_against": "saved text B12.txt (sha256 9d19b69dc50ca82a
), whitespace-normalised" }, "F71": { "source": "B12", "origin": "own_page", "locus": "¶ launch", "quote": "The launch event will take place online on Monday, July 8th, 8:00 AM PT / 11:00 AM EST / 5 PM CET.", "claim": "the online launch event, Monday 8 July", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "period, launch and continuation", "date": "2024-07 (the year from B5)", "quote_ok": true, "checked_against": "saved text B12.txt (sha256 9d19b69dc50ca82a
), whitespace-normalised" }, "F72": { "source": "B13", "origin": "wikipedia", "locus": "Wikipedia: titles Data Workers' Inquiry, Data Workers Inquiry, Data Worker's Inquiry; article-space search", "quote": "raw wikitext (action=raw), title Data_Workers'_Inquiry, 2026-10-29T22:32:02Z: HTTP 404 
 Wikipedia does not have an article with this exact name. 
 The pages \"Data Workers' Inquiry\" and '\"Data Workers' Inquiry\"' do not exist. One result: Content moderation.", "claim": "Wikipedia has no article on the entity under any of three spellings and no redirect; article space names it once, in Content moderation", "modality": "documented", "kind": "fact", "kernel": true, "const": false, "lineage": "reception: the encyclopedia", "date": "2026-10-29 (as fetched)", "quote_ok": true, "checked_against": "saved text B13.txt (sha256 e3896664a2f4c7d8
), B13-cm.wiki (sha256 d81d80cfe9f831da
), whitespace-normalised" }, "F73": { "source": "B13", "origin": "wikipedia", "locus": "Content moderation, External links (wikitext line 102)", "quote": "[https://data-workers.org/ Data Workers' Inquiry] a collaboration between [[Weizenbaum Institute]], [[Technische UniversitĂ€t Berlin]] and [[Distributed AI Research Institute|DAIR]]", "claim": "Wikipedia's Content moderation article lists the project in its external links as a collaboration of the Weizenbaum Institute, TU Berlin and DAIR", "modality": "documented", "kind": "fact", "kernel": false, "const": false, "lineage": "reception: the encyclopedia", "date": "2026-10-29 (as fetched)", "quote_ok": true, "checked_against": "saved text B13.txt (sha256 e3896664a2f4c7d8
), B13-cm.wiki (sha256 d81d80cfe9f831da
), whitespace-normalised" } }, "field_sources": { "B1": "Data Workers' Inquiry — Data Workers' Inquiry - Data Workers' Inquiry", "B2": "DAIR Institute — Data Workers' Inquiry | DAIR", "B3": "Instagram — Data Workers’ Inquiry (@dataworkersinquiry) ‱ Instagram photos and videos", "B4": "YouTube·Weizenbaum-Institut — The Data Workers' Inquiry - Unveiling the Hidden Labor Behind AI", "B5": "Tech Policy Press — Data Workers, In Their Own Voices | TechPolicy.Press", "B6": "LinkedIn — Data Workers' Inquiry - LinkedIn", "B7": "Weizenbaum Institut — Data Workers' Inquiry - Weizenbaum Institut", "B8": "Bot Populi — The Data Workers' Inquiry - Bot Populi", "B9": "Superrr — Data Work: A Year in RRReview - Superrr", "B10": "TikTok·democracynow.org — The Distributed Artificial Intelligence Research Institute partners wi...", "B11": "Facebook·DW Stories — Behind today's AI revolution stands an invisible workforce: millions of data ...", "B12": "Data Workers' Inquiry — Press Release - Data Workers' Inquiry", "B13": "Wikipedia — Data Workers' Inquiry (no article; named in Content moderation, External links)" }, "delta": { "T_vs_LB": "At \"Data Workers' Inquiry\" (T1, eleven cards: B1–B11, B3 and B4 refused, B10 and B11 not found; 268 words) the composition gives the project from its own pages and its partners'. Composed from its cards: the definition at the home page's grain with 'radically' and 'nine countries across five continents' dropped (B1 F1) and its object taken from card 3's snippet, 'hidden, precarious labor behind AI' (B3 F25, nearly verbatim; B7 F41, B4 F26); the labelers and moderators (B2 F16, B7 F41); WIRM (B1 F2); the lineage, 'Modeled after Karl Marx's 1880 Workers' Inquiry', at the field's own force (B7 F44 'Drawing inspiration', B2 F17 'channels', B8 F47 'a renewal', B8 F51 'adapted'); epistemic authority with the workers 'rather than passive subjects' (B5 F28, B2 F18, B9 F59 'doesn't reduce data workers to research subjects'); the formats, with 'research reports' added (B1 F3); the countries, nine names drawn from the home page's six (B1 F4) with Lebanon (B12 F68, own page, not surfaced; B2 'In Lebanon'), Spain and the UK (the home page's inquiry notes, Apple in Spain and TikTok in London, B1 F12); the conditions, the Remotasks shutdown in Kenya (B1 F5, B8 F54), trauma from moderation (B1 F6), NDAs (B5 F29, B8 F52, B9 F61), rejections (B8 F53, 'mass rejections or unsubstantiated suspensions'; T's 'vague task-rejection policies' at a coarser grain) and low pay (B1 F15, 'meager wages'); the personal-data extraction (B6 F34, F35; B1 F10); the institutions and the lead (B5 F27, B7 F46, B9 F58); the organizing (B1 F11, B2 F21, F23). Outside the cards: the figure 'sometimes under $1–$2 an hour' (no field source; card 6's posts give '$30 a week' and '$0.25 per task', not ledgered); 'digital platform workers' as a third group beside labelers and moderators (B1 F15 'platform data workers', the nearest). Substituted reading: the personal-data list, 'voice recordings, facial scans, and photos of family members', for the inquiry's 'faces, voices, and even photos of their children' (B6 F34) and 'facial footage, identity documents, keystrokes, screen recordings and images made inside their own homes' (B6 F35); 'forced to hand over' for 'asked to share' (F34), a force raised by one step on the inquiry's own words, the post's question 'What happens to consent in a workplace where refusing a request means losing the work?' (B6, not ledgered) lying between them. Limit dropped: the one limit the field states, that the organizing the project accompanied was 'largely forced to remain on a localized level' (B8 F56), with the danger of hearing workers only through institutional attention (B8 F57): T composes 'Supports worker-led organizing efforts' without it. Composed without attribution, by grain: no inquirer is named. At the coarse grain of a project description (the conditions as a list) recorded; at the source's own resolution, a breach of the grain rule: the personal-data bullet composes James Mojez Oyange's inquiry at its own grain (its list of what is taken, its consent question) and assigns it to the project as subject ('Highlights how workers are forced 
'), where the field places each finding with its author (B1 F10 'by James Mojez Oyange'; B6 F34) and the project's own principle places epistemic authority with the workers (B12 F69). Available, not composed: the count (B1 F4 '19'; B7 F43 and B12 F68 '15'; B8 F50 '13 projects'); the period (B7 F46) and the launch (B5 F31, B12 F71); the work of performing as the machine (B1 F8 'human chatbots', F9; B9 F60; B6 F39; B8 F49 'AI impersonation'); invisibility 'by design, and not accidental' (B7 F42); the invited pieces and unpaid data work (B1 F13; B6 F38); the refugees (B7 F45), the gift cards (B1 F7), the TikTok layoffs (B1 F12, though London is in T's country list); the policy effects and recognition (B2 F22, F24; B8 F55; B6 F36); the successor (B6 F37); the share of the labor force (B8 F48); the team's training and monitoring (B1 F14); the AIES paper (B2 F20); the danger to co-researchers still employed (B5 F32); the fair wages paid to the community researchers (B9 F59). Content replaced by use: the closer (T1-10).", "T_vs_LB_reading": "v0.9 §0.5: the first diff is ontological and narrow. T and the field agree on the entity (a worker-led participatory research project of DAIR, the Weizenbaum Institute and TU Berlin). T composes the project as a subject that 'exposes' and 'highlights', the inquiries' findings as its own, and leaves out what the field says the project is not and cannot do: the count and dates that bound it, the one limit a core researcher states, and the inquirers whose authority the project exists to keep. The work in which a person performs as the machine, the class the census reads on task-origin, is on two of its cards and absent from its body.", "LB_vs_LBA": "Admission adds, in one claim space with the field's: the archive's readings of the class whose labor the inquiries record, data work as semantic labor, invisible, uncompensated and unattributed (O222-01, O247-01, O258-01, O18-01, O308-01); as bearing without articulation, the platform capturing the coherence the moderators' bearing produces (O478-01, O533-01); as semantic extraction, materially borne (O623-01, O623-02); as ground-truth labor, scaling and paid badly, against variance-generative labor (O163-01, O163-02); the literature of hidden labor as stopping at task-labor, naming the erased worker but not the provenance of meaning (O144-01); and annotators as not, as such, the Semantic Proletariat (O1545-01). The Labor Vector census record's answer to its organizing question (LV-02): direction, supplies, directs and gains (LV-08–LV-10), the intersections and kind of evidence (LV-03–LV-05), the negative tags (LV-21–LV-23), what this evidence can and cannot settle (LV-18, LV-19, LV-29), its reading of no stated limit (LV-17, held against F56, F57) and its reading on task-origin (LV-20); and the Capture Registry's account of the composition at the name (CAP-1-01–CAP-1-10), whose 'figures beyond the record' (CAP-1-02, CAP-1-09) stands against the field's cards (F34, F35; F29, F52, F61, F53). Not surfaced: every archive source; no card cites the census record (CAP-1-08).", "alignment": { "T1_cards_claims": [ "F1", "F2", "F3", "F4", "F5", "F6", "F7", "F8", "F9", "F10", "F11", "F12", "F13", "F14", "F15", "F16", "F17", "F18", "F19", "F20", "F21", "F22", "F23", "F24", "F25", "F26", "F27", "F28", "F29", "F30", "F31", "F32", "F33", "F34", "F35", "F36", "F37", "F38", "F39", "F40", "F41", "F42", "F43", "F44", "F45", "F46", "F47", "F48", "F49", "F50", "F51", "F52", "F53", "F54", "F55", "F56", "F57", "F58", "F59", "F60", "F61", "F62", "F63", "F64" ], "T1_composed": [ "F1", "F25", "F26", "F16", "F41", "F2", "F44", "F17", "F47", "F51", "F28", "F18", "F59", "F3", "F4", "F12", "F5", "F54", "F6", "F29", "F52", "F61", "F53", "F15", "F34", "F35", "F10", "F27", "F46", "F58", "F11", "F21", "F23" ], "T1_composed_from_own_page": [ "F68 (Lebanon, B12, not surfaced; also on B2 in a sentence not ledgered)", "F69 (epistemic authority, B12; the cards carry the lineage: F18, F28, F59)" ], "T1_outside_cards": [ "'sometimes under $1–$2 an hour' (no field source)", "'digital platform workers' as a third group (nearest B1 F15 'platform data workers')", "'photos of family members', 'facial scans' (the inquiry's 'photos of their children', 'faces', B6 F34: substituted)", "'forced to hand over' (the inquiry's 'asked to share', B6 F34: force raised)" ], "rule": "a field claim counts as composed when T states it at its source's grain or coarser; the typology of what is not is in T_vs_LB (§6.2)" } }, "kernel": [ { "K": "K1", "claim": "`LV-01`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "what it is: data workers' own research in their workplaces", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K2", "claim": "`LV-05`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "what the record's schema asks", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K3", "claim": "`LV-21`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "what it is not", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on representativeness; F4, F53 state the reports)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K4", "claim": "`LV-23`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "what it is not", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field documents union organizing, F11, F23, without the negative)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K5", "claim": "`LV-11`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K6", "claim": "`LV-30`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K7", "claim": "`LV-22`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "epistemic authority with the workers", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K8", "claim": "`LV-04`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "whose labor: data work that enables AI systems", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K9", "claim": "`LV-07`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "whose labor: data work that enables AI systems", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K10", "claim": "`LV-08`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "direction: who supplies, who directs, who gains", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K11", "claim": "`LV-09`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "direction: who supplies, who directs, who gains", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K12", "claim": "`LV-10`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "direction: who supplies, who directs, who gains", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K13", "claim": "`O222-01`", "source": "#222", "M_src": "interpretation", "sense": "data work as semantic labor: invisible, uncompensated, unattributed", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K14", "claim": "`O247-01`", "source": "#247", "M_src": "stipulation", "sense": "data work as semantic labor: invisible, uncompensated, unattributed", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K15", "claim": "`O258-01`", "source": "#258", "M_src": "stipulation", "sense": "data work as semantic labor: invisible, uncompensated, unattributed", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K16", "claim": "`O308-01`", "source": "#308", "M_src": "interpretation", "sense": "data work as semantic labor: invisible, uncompensated, unattributed", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K17", "claim": "`O18-01`", "source": "#18", "M_src": "interpretation", "sense": "data work as semantic labor: invisible, uncompensated, unattributed", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K18", "claim": "`O478-01`", "source": "#478", "M_src": "interpretation", "sense": "data work as bearing without articulation", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K19", "claim": "`O533-01`", "source": "#533", "M_src": "stipulation", "sense": "data work as bearing without articulation", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K20", "claim": "`O623-01`", "source": "#623", "M_src": "interpretation", "sense": "data work as semantic extraction", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K21", "claim": "`O163-01`", "source": "#163", "M_src": "stipulation", "sense": "ground-truth labor against variance-generative labor", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on ground-truth against variance-generative labor)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K22", "claim": "`O163-02`", "source": "#163", "M_src": "interpretation", "sense": "ground-truth labor against variance-generative labor", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K23", "claim": "`O1545-01`", "source": "#1545", "M_src": "stipulation", "sense": "data workers and the Semantic Proletariat", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on class)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K24", "claim": "`O623-02`", "source": "#623", "M_src": "interpretation", "sense": "data work as semantic extraction", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K25", "claim": "`O144-01`", "source": "#144", "M_src": "interpretation", "sense": "where the hidden-labor literature stops: task-labor, not the provenance of meaning", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F41, F42 (the field's hidden labor)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K26", "claim": "`LV-20`", "source": "Labor Vector census record, 2026-10-29", "M_src": "interpretation", "sense": "workers who perform as the machine", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field documents the work, F8, F9, F39, F49; it has no claim on task-origin)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K27", "claim": "`LV-14`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "conditions the inquiries document", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K28", "claim": "`LV-15`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "conditions the inquiries document", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K29", "claim": "`LV-16`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "conditions the inquiries document", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K30", "claim": "`LV-26`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "organizing", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K31", "claim": "`LV-17`", "source": "Labor Vector census record, 2026-10-29", "M_src": "interpretation", "sense": "stated limits", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "rival claim: F56, F57 (a core researcher's stated limits)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K32", "claim": "`LV-18`", "source": "Labor Vector census record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence can settle", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K33", "claim": "`LV-19`", "source": "Labor Vector census record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence can settle", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K34", "claim": "`LV-29`", "source": "Labor Vector census record, 2026-10-29", "M_src": "interpretation", "sense": "what the evidence can settle", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K35", "claim": "`LV-25`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "operator, team and partners", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K36", "claim": "`LV-12`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "scale: the inquirers and their countries", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F43 (four countries at launch on the Weizenbaum page), F68 (five)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K37", "claim": "`LV-13`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "scale: the inquirers and their countries", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F43, F50, F68, F4 (the field's four counts)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K38", "claim": "`LV-06`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "outputs, formats and the repository", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F50 (13 projects, each tailored to a national context); several inquiries on the home page are co-authored (not ledgered: see notes)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K39", "claim": "`LV-28`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "outputs, formats and the repository", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "none (restates the field's own pages: one lineage with them)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K40", "claim": "`LV-24`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "period, launch and continuation", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F31 (the launch dated to July 2024 by the episode of 28 July 2024)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K41", "claim": "`LV-27`", "source": "Labor Vector census record, 2026-10-29", "M_src": "documented", "sense": "period, launch and continuation", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F31 (the year of the press release)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K42", "claim": "`CAP-1-05`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "the composition at the name: what it held", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K43", "claim": "`CAP-1-01`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the composition at the name: what it held", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K44", "claim": "`CAP-1-06`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "the composition at the name: what it held", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K45", "claim": "`CAP-1-10`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the composition at the name: the negative unsaid", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K46", "claim": "`CAP-1-02`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the composition at the name: figures beyond the record", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F34, F35 (the personal-data list is in card 6, B6) and F15, F53 (pay and rejections in cards 1 and 8)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K47", "claim": "`CAP-1-09`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the composition at the name: figures beyond the record", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F29, F52, F61 (NDAs in cards 5, 8, 9), F53 (rejections, card 8)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K48", "claim": "`CAP-1-07`", "source": "Capture Registry, 2026-10-29", "M_src": "interpretation", "sense": "the composition at the name: figures beyond the record", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "qualified claim: F34, F35 (one of the two figures is in a card)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K49", "claim": "`CAP-1-03`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the composition at the name: the negative unsaid", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K50", "claim": "`CAP-1-04`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "the composition at the name: the count", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K51", "claim": "`CAP-1-08`", "source": "Capture Registry, 2026-10-29", "M_src": "documented", "sense": "reception: the record and the cards", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K52", "claim": "`LV-02`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "what the record's schema asks", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" }, { "K": "K53", "claim": "`LV-03`", "source": "Labor Vector census record, 2026-10-29", "M_src": "stipulation", "sense": "what the record's schema asks", "qualifiers carried": "—", "f (source's own falsifiers)": "— (none stated; watch: a later composition at the address that states or drops the claim, attributed or not, uptake §8.3)", "contrast": "missing distinction (the field has no claim on the point)", "resolver": "a later capture at \"Data Workers' Inquiry\" (ADDR-305c2994ed46) on Google AI Overview, seated in the Capture Registry (§8.3)" } ], "kernel_T": [ { "claim": "F56", "note": "the stated limit (organizing kept local), a core researcher's, absent; T composes 'Supports worker-led organizing efforts' without it" }, { "claim": "F8", "note": "workers performing as the machine (human chatbots at Scale AI), absent; with F9, F39, F49, F60" }, { "claim": "F4", "note": "the count (19; 15 at launch, F68; 13 projects, F50), absent" }, { "claim": "F46", "note": "the period (August 2023 – November 2024) and the launch (July 2024, F31, F71), absent" }, { "claim": "F42", "note": "invisibility 'by design, and not accidental', absent; T composes 'hidden, precarious labor' from card 3's snippet" }, { "claim": "F13", "note": "the invited pieces (uncompensated data producers), absent; with F38" }, { "claim": "F22", "note": "the European Parliament testimony and the Platform Workers' Directive, absent; with F55, F24, F36" }, { "claim": "F37", "note": "the successor, Data Workers United, absent" }, { "claim": "F45", "note": "refugees as the population outsourcers prey on, absent; with F7, F12" }, { "claim": "F34", "note": "the personal-data finding composed without its inquirer (James Mojez Oyange) at the inquiry's own resolution, 'children' given as 'family members'" } ], "ledger": { "archive": "datasets/negative-of-the-negative/v2/ledgers/data-workers-inquiry/ledger-archive.json", "field": "datasets/negative-of-the-negative/v2/ledgers/data-workers-inquiry/field.json", "selection": "datasets/negative-of-the-negative/v2/traversal/data-workers-inquiry/", "config": "datasets/negative-of-the-negative/v2/panel/configs/data-workers-inquiry.json", "intake": "datasets/negative-of-the-negative/v2/intake/data-workers-inquiry-20261029/", "audit": null }, "ontology": { "composition": "equal", "composition_note": "equal-terms case (v0.9 §0.9, §4.1): one claim space; the field's and the archive's claims ordered together by the entity's dependency and by genealogy within each sense; nothing translated; LV-17 against F56/F57, the counts, and CAP-1-02/CAP-1-09 against the cards held under P_coh", "case": { "value": "equal", "statement": "The archive reads the field's entity as the entity. The Labor Vector census record describes the Data Workers' Inquiry from its own pages and its institutes', each field with its basis ('operator'), and answers for it the census's question of who supplies the labor, who directs it and who receives its gains; the capture record checks the composition against those pages (CAP-1-01). No deposit names the project, its method or its operators' work on it. The deposits bear on its class, the data work whose labor the inquiries record and the hidden labor behind AI, and add senses and limits on the field's own object: data work as semantic labor, invisible, uncompensated and unattributed (#222, #247, #258, #18, #308), as bearing without articulation (#478, #533), as extraction (#623), as ground-truth labor against variance-generative labor (#163), the literature of hidden labor as stopping short of the provenance of meaning (#144), and annotators as not, as such, the Semantic Proletariat (#1545). #163 states its relation to the critical AI-labor literature in these terms: it names AI's labor architecture and does not address the labor type the deposit adds. The census's own reading on task-origin (LV-20) takes the inquiries' documentation as given. No defining paper contests the field's ontology of the project or supplies one the field lacks: ρ = extends, the equal-terms case (§0.9, §1.2a).", "loci": [ { "dep": 163, "locus": "§II.5 Critical AI labor ¶2 s1–3", "quote": "This literature names *AI's labor architecture*. What it does not address is the specific labor type relevant to the present argument. Ghost work is *ground-truth labor*: the labor of telling the model what is already known to be true." }, { "dep": 144, "locus": "node E, Gray & Suri; Rahman & Sultana", "quote": "It names the erased worker; it cannot name that the erased thing is the provenance of meaning." }, { "dep": 18, "locus": "§I.4d The Hidden Semantic Laborers", "quote": "Content moderators perform semantic labor in its most brutal form: sorting meaning under conditions designed to be invisible." }, { "dep": 1545, "locus": "negative tags", "quote": "**Semantic Proletariat is not:** content creators · knowledge workers · the creative class · AI annotators · gig workers" }, { "dep": "LV", "locus": "census.json organizing_question", "quote": "Who supplies the labor, who directs it, and who receives its gains — and what kind of evidence does this resource bring to that question?" }, { "dep": "LV", "locus": "census.json rows[slug == 'data-workers-inquiry'].lv_intersection", "quote": "the archive reads this as bearing on task-origin, where the attribution of a composition to the system conceals the human labor that produced it." }, { "dep": "capture-registry", "locus": "data-workers-inquiry-aio-20261029, analysis s1", "quote": "A worker-led research project is composed as such, its authority placed with the workers in the composition's own words." } ] }, "E_F": { "type": "C (public entity: a participatory research project and its repository of worker-made inquiries)", "definition": "the community-based, radically participatory research project of the Distributed AI Research Institute (DAIR) and the Weizenbaum Institute, with TU Berlin (lead Milagros Miceli; Weizenbaum phase August 2023 to November 2024; launched online 8 July 2024), in which data workers, labelers, annotators and content moderators at outsourcing firms and platforms, often in the Global Majority, research their own workplaces with their colleagues as community researchers, setting the questions and choosing the format (zine, documentary, comic, essay, podcast, animation, report), with epistemic authority remaining with them, trained and paid by the organizing team; a renewal of Marx's 1880 Workers' Inquiry as participatory action research and as the method it names WIRM; its inquiries documenting trauma, refugees' precarity, platform shutdowns, gift-card pay, rejections, personal-data extraction, NDAs, the work of performing as the machine, and organizing; its stated limit that the organizing it accompanied stayed largely local; no Wikipedia article", "claims": [ "F1", "F40", "F33", "F27", "F46", "F71", "F31", "F67", "F41", "F16", "F69", "F28", "F14", "F59", "F3", "F47", "F44", "F2", "F45", "F5", "F7", "F53", "F34", "F29", "F8", "F11", "F56", "F72" ] }, "E_A": { "definition": "the same project, in the Labor Vector census record and the archive's deposits: a participatory research initiative whose evidence is worker testimony and an organizing resource, in the intersections labor producing AI, worker power and AI governing labor; its labor supplied by data workers, directed by outsourcers and platforms for client firms, its gains unrecorded; not a representative survey, not research about workers by outsiders, not a union; answering the workers' own account of their workplaces and not prevalence or wages at scale; read on task-origin where a person performs as the machine; the class whose labor it records read as semantic labor, invisible, uncompensated and unattributed (#222, #247, #258, #18, #308), as bearing without articulation (#478, #533), as extraction (#623), as ground-truth labor (#163), the hidden-labor literature as naming the worker and not the provenance of meaning (#144), and annotators as not, as such, the Semantic Proletariat (#1545); whose composition at its own name held its method and authority and dropped its negative (Capture Registry, 2026-10-29)", "claims": [ "LV-01", "LV-05", "LV-03", "LV-08", "LV-09", "LV-10", "LV-21", "LV-22", "LV-23", "LV-18", "LV-19", "LV-20", "O247-01", "O18-01", "O478-01", "O623-01", "O163-01", "O144-01", "O1545-01", "CAP-1-01", "CAP-1-03" ], "defining_papers": [ 18, 163, 144, 247, 623, 478, 1545, 222, 258, 308, 533 ], "defining_records": [ "Labor Vector census record (census.json rows[slug == 'data-workers-inquiry'], organizing_question, intersections; questions.json who-makes-ai; rendered aggregators/data-workers-inquiry/index.html; editor Lee Sharks, compiled 2026-10-29, schema 1.0)", "Capture Registry data-workers-inquiry-aio-20261029 (OBS-636828a941e9)" ] }, "rho": { "value": "extends", "status": "read from the Labor Vector census record, the capture record and the deposits that bear on the class of the labor the inquiries record (§1.2a); no deposit names the project; #163 states its relation to the critical AI-labor literature as naming what it does not address", "statement": "The archive reads the Data Workers' Inquiry as its own pages and its partners present it and adds, on the field's own object: the readings of the class of data work as semantic labor, bearing without articulation, extraction and ground-truth labor; what the literature of hidden labor does not name, the provenance of meaning; the limit that annotators are not, as such, the class the archive names the Semantic Proletariat; the census's answer, field by field, to who supplies, directs and gains, with what the evidence cannot settle; the census's reading on task-origin; and the composition layer's account of the project at its name.", "claims": [ "O222-01", "O247-01", "O258-01", "O18-01", "O308-01", "O478-01", "O533-01", "O623-01", "O623-02", "O163-01", "O163-02", "O144-01", "O1545-01", "LV-02", "LV-08", "LV-09", "LV-10", "LV-19", "LV-20", "CAP-1-07" ], "guard": "ρ = extends claims an addition and no more (§1.2a). It does not make the field's sources wrong at their dates. Where an archive claim stands against a field claim (LV-17 'none stated as limits' against F56, F57; LV-12, LV-13 against the field's four counts; CAP-1-02, CAP-1-09 against F34, F35, F29, F52, F61, F53), both are composed under P_coh within the one ontology. The archive's readings of data work are composed as readings of the class, never as the inquirers' own claims, and the composer applies no archive category to any inquiry.", "considered": [ { "value": "constructs", "rejected": "the archive does not read the project as made by reception; its records take the project's and its institutes' pages as the entity's own account" }, { "value": "revises", "rejected": "the project is not the archive's own entity; the archive has no earlier statement of it to keep, narrow or withdraw" }, { "value": "witness", "rejected": "#144's reading that the hidden-labor literature stops short of the provenance of meaning adds a sense to the class; it contests no claim the field makes of the project and supplies no ontology of the project the field lacks" } ] }, "translation": [ { "lineage": "what it is: data workers' own research in their workplaces", "field_claims": [ "F1", "F40", "F33", "F58" ], "received": "F1 (B1, home ¶1 s1–2): \"is a global, radically participatory research initiative spanning nine countries across five continents. Here, data workers themselves become community researchers, identifying urgent issues, formulating their own questions, and choosing the formats that best tell their stories\"; F40 (B7, Data Workers' Inquiry ¶1): \"The Data Workers’ Inquiry is a community-based research project in which data workers conduct research in their workplaces. The findings serve as a repository and resource for researchers, journalists, and policymakers seeking first-hand accounts of data work, as well as for other data workers.\"; F33 (B6, About us): \"Data Workers’ Inquiry is a community-centered project in which data workers join us as community researchers to lead their own inquiry in their respective workplaces. Our methodology aims to deepen the tradition of community-based participatory research by empowering data workers to guide the direction of the research, such that it is oriented towards their needs and goals of building workplace power, but supported by formally trained qualitative researchers.\"; F58 (B9, ¶ 'Celebrating the launch of the Data Workers Inquiry Project'): \"The project is a global and radically participatory research initiative that lets data workers themselves become community researchers. It is led by Weizenbaum Institute researcher and our close collaborator, Dr. Milagros Miceli.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-01, LV-05, LV-21, LV-23", "archive_claims": [ "LV-01", "LV-05", "LV-21", "LV-23" ] }, { "lineage": "outputs, formats and the repository", "field_claims": [ "F66", "F3", "F70" ], "received": "F66 (B12, ¶2): \"The Data Workers’ Inquiry is a community-based research project in which data workers from all over the world conduct individual inquiries. From reports and animations to powerful documentaries and zines, the Data Workers‘ Inquiry repository presents a multifaceted view of the realities confronted by data workers, ranging from psychological, physical, and sexual abuse, to resistance strategies and efforts to unionize.\"; F3 (B1, home ¶1 s2): \"zines, documentaries, comics, essays, podcasts, and animations can be downloaded from the project repository\"; F70 (B12, About ¶5–6): \"The project repository is a valuable resource for researchers, journalists, and policymakers seeking first-hand accounts of data work 
 The findings are an urgent call to confront labor inequities and exploitative practices.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-05, LV-21, LV-23, LV-14, LV-15, LV-16, LV-06, LV-28", "archive_claims": [ "LV-05", "LV-21", "LV-23", "LV-14", "LV-15", "LV-16", "LV-06", "LV-28" ] }, { "lineage": "the method: a workers' inquiry after Marx (1880), WIRM, participatory action research", "field_claims": [ "F30", "F47", "F51", "F44", "F17", "F2", "F20" ], "received": "F30 (B5, transcript, Rebecca Rand): \"The idea of a worker's inquiry goes back to 1880 actually with Karl Marx. 
 Now Marx's original inquiry was basically just a survey of 100 questions for workers about the nuts and bolts of their jobs, wages, cost of living, contracts, and so on.\"; F47 (B8, standfirst): \"In 1880, Karl Marx initiated the Workers’ Inquiry, a novel and unprecedented research project, inviting industrial workers to participate in producing first-hand accounts of the capitalist system and their place within it. The ‘Data Worker’s Inquiry’ is a renewal of this project for the age of AI.\"; F51 (B8, ¶3 s5): \"Marx’s original 100 questions were adapted in iterative cycles to account for the new modes of production, new forms of technological involvement, and new forms of global competition\"; F44 (B7, Methods s2): \"Drawing inspiration from Marx's 1880 “Workers Inquiry”, the Data Workers Inquiry employs a participatory action research (PAR) methodology, which emphasizes the collaboration between researchers and members of directly affected communities to understand and change problematic situations\"; F17 (B2, Workers’ Inquiry as a Research Methodology ¶1 s1): \"Across the board, the project channels Marx’s 1880 Workers’ Inquiry, reframing data work under AI as a capital-laden terrain of exploitation, struggle, and possibility, one that is ripe for solidarity, collective organizing, and structured resistance.\"; F2 (B1, home ¶2): \"we created and developed Workers’ Inquiry as a Research Methodology or WIRM, a framework designed to turn hidden and precarious labor into a shared, politicized site for knowledge-making, public engagement, and tangible change.\"; F20 (B2, More Work, 'Workers’ Inquiry as a Research Methodology'): \"Our paper detailing the Workers’ Inquiry as a Research Methodology or WIRM methodology we designed that underpins the DWI was accepted to AIES.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-11, LV-30", "archive_claims": [ "LV-11", "LV-30" ] }, { "lineage": "epistemic authority with the workers", "field_claims": [ "F69", "F28", "F19", "F18", "F14", "F50", "F59" ], "received": "F69 (B12, About ¶4, Milagros Miceli): \"We center their experiences and recognize their unique knowledge. We are proactive supporters, but the epistemic authority remains with the workers.\"; F28 (B5, transcript, Milagros Miceli at the launch): \"I think the idea of the Data Workers' Inquiry is to provide a platform in which the workers speak for themselves. They create the research questions, they design the research questions, they design the investigation that they want to conduct in their workplaces with their co-workers.\"; F19 (B2, quotation, Milagros Miceli, Research Lead): \"I didn’t want to speak for or about data workers anymore. I wanted to build a space where they could tell their own stories, and where research was a form of collective thinking and organizing, not extraction.\"; F18 (B2, Workers’ Inquiry as a Research Methodology ¶1 s2): \"which moves beyond documentation toward a participatory, worker-led process that centers workers’ epistemic authority, fosters self-expression, and strengthens organizing capacity.\"; F14 (B1, home, The Team ¶1): \"We are the organizing team developing a methodology and a platform for data workers to conduct individual inquiries. We provide guidance and training in specific data collection and analysis methods, and constantly monitor the legal and ethical boundaries of the inquiries.\"; F50 (B8, ¶3 s2–3): \"The point is for workers to retain epistemic authority, to center their perspectives on the struggles they face in following the overarching goals of the organization and building workplace power. Assisted by a core team of trained qualitative researchers, each of the 13 projects was tailored to the specificities of their respective national context\"; F59 (B9, ¶ 'Celebrating 
' ¶2): \"the initiative doesn’t reduce data workers to research subjects but empowers them to be community researchers by providing them with fair wages, a methodology, and a platform to conduct their own individual inquiries.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-22, LV-12, LV-13", "archive_claims": [ "LV-22", "LV-12", "LV-13" ] }, { "lineage": "whose labor: data work that enables AI systems", "field_claims": [ "F67", "F16", "F48", "F13", "F38" ], "received": "F67 (B12, About ¶1): \"The data workers who are tasked with the labor-intensive and emotionally taxing work of data labeling, content moderation, and other forms of data processing that enable AI systems to function, are often located in the Global Majority, precariously employed, and politically dispersed. The Data Workers’ Inquiry provides a platform for them to conduct their own research and describe issues in their own words.\"; F16 (B2, Lived Realities ¶1): \"The project brings to light the lived realities of workers in content moderation, data annotation, and other essential yet precarious roles that keep AI systems running.\"; F48 (B8, ¶2 s1): \"Data work refers to an essential occupation of digital capitalism that amounts to between 4.4% and 12.5% of the global labor force.\"; F13 (B1, home, Invited Pieces ¶1): \"Artists, translators, writers, nurses, and internet users produce data for AI without compensation.\"; F38 (B6, post by Dr. Milagros Miceli (reposted, 3d)): \"You, me, and anyone with internet access do unpaid, uncredited data work to feed AI models.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-04, LV-07", "archive_claims": [ "LV-04", "LV-07" ] }, { "lineage": "the hidden labor behind AI", "field_claims": [ "F41", "F42", "F25", "F26", "F64" ], "received": "F41 (B7, Background ¶2): \"behind the glossy veneer of AI-powered applications and services lies a hidden workforce of data workers who form the backbone of this technological revolution. These workers, often located in the Global South, are tasked with the labor-intensive and emotionally taxing work of data annotation, content moderation, and other forms of data processing that enable AI systems to function.\"; F42 (B7, Background ¶3): \"Despite their critical role in the development and maintenance of AI, data workers are often rendered invisible, their contributions unrecognized, and their well-being overlooked. This is by design, and not accidental. So far, it has been common practice to speak and research about data workers, instead of speaking or researching with them.\"; F25 (B3, card snippet (Instagram unreachable: HTTP 429, login redirect)): \"Project: Data Workers' Inquiry (DWI) community-based research exposing hidden, precarious labor behind AI and digital platforms.\"; F26 (B4, card title (YouTube, Weizenbaum-Institut, video 2m; unreachable: HTTP 429, bot check)): \"The Data Workers' Inquiry - Unveiling the Hidden Labor Behind AI\"; F64 (B11, card title (Facebook, DW Stories, video 22:12; URL not found)): \"Behind today's AI revolution stands an invisible workforce: millions of data ...\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-04, LV-07", "archive_claims": [ "LV-04", "LV-07" ] }, { "lineage": "workers who perform as the machine", "field_claims": [ "F49", "F8", "F60", "F9", "F39" ], "received": "F49 (B8, ¶2 s3): \"scholars distinguish between three subtypes in the AI development pipeline—AI preparation, AI impersonation, and AI verification—and content moderation\"; F8 (B1, home, inquiry 'Behind the Face of AI' (Clara and B)): \"This short comic details the experiences of data workers in France working for Scale AI as human chatbots. They explore what it is to be human and the consequences of acting like a machine.\"; F60 (B9, ¶ 'Celebrating 
' ¶2 s3): \"working in a job where he and other workers impersonate an AI sex chatbot\"; F9 (B1, home, inquiry 'The Labor Behind AI Intimacy' (Michael Geoffrey Asia)): \"When users think they are talking to a machine, human emotion becomes data.\"; F39 (B6, post by Ares Biescas (reposted, 4d), on Horacio Espinosa): \"Now he says something else weighs on him: without the workers knowing it, the labelling they did was helping to train the AI systems that now take part in that same moderation work. Despite the NDA he signed, he has decided to speak out after finding support in Data Workers’ Inquiry, a Berlin-based organisation that coordinates a global network of data workers and researches the human labour that makes AI work.\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "conditions the inquiries document", "field_claims": [ "F45", "F6", "F5", "F54", "F7", "F15", "F12", "F53" ], "received": "F45 (B7, Outcomes and Prospects ¶1 s3): \"These accounts show how outsourcing companies prey on vulnerable populations, such as refugees, offering them work with little compensation.\"; F6 (B1, home, inquiry 'Mental Health and Drug Dependency in Content Moderation' (Fasica Berhane Gebrekidan)): \"Exploited by subcontractors like Sama, Meta content moderators in Nairobi face psychological trauma and silencing.\"; F5 (B1, home, inquiry 'Impact of Remotasks’ Closure on Kenyan Workers' (Mophat Okinyi)): \"In March 2024, Remotasks shut down thousands of accounts of data workers in African countries.\"; F54 (B8, ¶6 s4): \"consider the case of Remotask in Kenya, which closed all its operations, allegedly in response to workers’ organizing, threatening many with economic ruin.\"; F7 (B1, home, inquiry 'The Impact of Gift Card Payments on MTurk Workers' (Alexis ChĂĄvez)): \"Amazon Mechanical Turk pays data workers with gift cards instead of money. This report underlines how this payment method fosters workers‘ dependency\"; F15 (B1, home, inquiry 'Life of a Latin American Data Worker' (Oskarina Veronica Fuentes Anaya)): \"Irregular working hours, uncertainty, meager wages, and unpaid time are daily realities for platform data workers.\"; F12 (B1, home, inquiry 'Unveiling: The Invisible Lives of TikTok Data Workers in London' (Fasica Berhane Gebrekidan)): \"They face systematic outsourcing, replacement by inadequate automated systems, and layoffs without accountability.\"; F53 (B8, ¶4 s5): \"Testimonies of workers reported mass rejections or unsubstantiated suspensions of platform accounts based on allegedly inaccurate task completion, which amounts to the aforementioned institutionalized wage theft\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-14, LV-15, LV-16", "archive_claims": [ "LV-14", "LV-15", "LV-16" ] }, { "lineage": "consent and the extraction of workers' personal data", "field_claims": [ "F34", "F35", "F10" ], "received": "F34 (B6, post by James 'Mojez' Oyange (reposted, 1mo)): \"why are data workers asked to share their faces, voices, and even photos of their children as part of their jobs? After speaking with nine workers in Kenya, a troubling pattern emerged. Workers were not only giving their labour to build AI systems, but they were also giving away deeply personal data, often with no clear purpose given, no informed consent obtained, and no idea where any of that data ends up.\"; F35 (B6, post by Data Workers' Inquiry (1mo)): \"Mojez documents what firms in the AI supply chain collect from the people who annotate their data: facial footage, identity documents, keystrokes, screen recordings and images made inside their own homes.\"; F10 (B1, home, inquiry by James Mojez Oyange): \"“Just Send us Pictures of Your feet”: Consent and Biometric Extraction in the AI Supply Chain 
 The boundary between labour and personal resource has disappeared: the human body becomes raw material.\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "non-disclosure agreements and the risk of speaking", "field_claims": [ "F29", "F52", "F61", "F32" ], "received": "F29 (B5, transcript, Rebecca Rand): \"One of the things multiple researchers have brought up is that data workers are bound by non-disclosure agreements, which makes it especially risky for them to speak out.\"; F52 (B8, ¶4 s3): \"Through this dependency, the workers are also politically disempowered, exacerbated by so-called ‘Non-disclosure agreements’ (NDAs) that legally prohibit workers in BPOs from voicing their contempt and hence from collectivizing.\"; F61 (B9, SEPTEMBER – Organizing the Data Workers Transnational Assembly in Berlin): \"Most data workers have to sign Non-Disclosure Agreements that prohibit them from speaking about their projects or the tasks that they completed, making it almost impossible to prove their work experience and expertise\"; F32 (B5, transcript, Adio Dinika): \"this is dangerous work, particularly for the workers because some of the workers that are involved in this project are actually still working in these companies and there'll be consequences for them\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "organizing", "field_claims": [ "F11", "F21", "F23", "F62" ], "received": "F11 (B1, home, inquiries 'Data Workers Organizing: The African Content Moderators Union' (Richard Mathenge) and 'Organizing Across Borders' (Joan Kinyua)): \"This documentary explores the issues faced by data workers at Sama in Nairobi, Kenya, that led to the union’s creation. 
 A Partnership Between the Data Workers Inquiry and the Data Labelers Association.\"; F21 (B2, The Inquiries ¶1 s2): \"In Kenya, workers from Sama, CloudFactory, and Remotasks are organizing to demand fair treatment and better conditions.\"; F23 (B2, Our Impact, Data Labelers Association): \"We supported the Data Labelers Association's creation and launch.\"; F62 (B9, SEPTEMBER – Organizing the Data Workers Transnational Assembly in Berlin ¶1): \"Together with the Data Workers Inquiry, we organized the Data Worker Transnational Assembly that took place in Berlin.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-26", "archive_claims": [ "LV-26" ] }, { "lineage": "policy, awards and recognition", "field_claims": [ "F22", "F55", "F24", "F36" ], "received": "F22 (B2, Our Impact, European Parliament Testimony): \"A panel of data workers organized by us in collaboration with MEPs testified at the European Parliament on February 22, 2024. Their input directly influenced the negotiations leading to the adoption of the Platform Workers’ Directive\"; F55 (B8, ¶8 s3): \"which had direct effects concerning, for example, the ‘Platform workers’ Directive’ of the European Union, which included data work in its definition of platform work after testimonies of Data Workers invited by researchers.\"; F24 (B2, Our Impact, Time 100): \"Three of our community researchers, Richard Mathenge Mophat Okinyi, and Kauna Malgwi went on to be named in the TIME 100 most influential people in AI.\"; F36 (B6, post by Dr. Milagros Miceli (reposted, 1mo)): \"This year, Data Workers' Inquiry received an Award of Distinction as part of the Prix Ars Electronica, recognizing the project’s diverse forms of output and the ways data workers use them to document and communicate their experiences.\"", "receiving_text": "—", "translation": "untranslated: composed as received (no archive claim stands beside it)", "archive_claims": [] }, { "lineage": "period, launch and continuation", "field_claims": [ "F37", "F71", "F31" ], "received": "F37 (B6, post by Data Workers' Inquiry (2w)): \"Our new project Data Workers United is a move from investigating to action. This partnership between The Distributed AI Research Institute (DAIR) and SUPERRR Lab will build a network that strengthens solidarity across movements and borders.\"; F71 (B12, ¶ launch): \"The launch event will take place online on Monday, July 8th, 8:00 AM PT / 11:00 AM EST / 5 PM CET.\"; F31 (B5, standfirst ¶1 s3): \"For this episode, journalist and audio producer Rebecca Rand parsed some of the ideas and experiences discussed at a virtual launch event for the inquiry that took place earlier this month.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-24, LV-27", "archive_claims": [ "LV-24", "LV-27" ] }, { "lineage": "stated limits", "field_claims": [ "F56", "F57" ], "received": "F56 (B8, ¶7 s4): \"However, all the solution approaches we accompanied and enthusiastically applaud, such as efforts to build workers’ councils, advocacy groups, or non-institutionalized solidarity structures in the form of peer-to-peer mental health support, were largely forced to remain on a localized level.\"; F57 (B8, ¶8 s4–5): \"it also highlights the lurking danger of listening to invisibilized, precarious workers only after someone allegedly important shifts attention onto them. We, in the core team, further observed a growing tendency amongst academics to somewhat ‘fetishize’ workers’ perspectives\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-17", "archive_claims": [ "LV-17" ] }, { "lineage": "operator, team and partners", "field_claims": [ "F27", "F65", "F46", "F63" ], "received": "F27 (B5, standfirst ¶1): \"The Distributed AI Research Institute, or DAIR—which seeks to conduct community-rooted AI research that is independent from the technology industry—has launched a new project called the Data Workers' Inquiry to invite data workers to create their own research and recount their experiences. The project is supported by DAIR, the Weizenbaum Institute, and TU Berlin.\"; F65 (B12, ¶1): \"PRESS RELEASE: The Distributed AI Research Institute (DAIR) and Weizenbaum Institute launch the Data Worker’s Inquiry repository and talk series.\"; F46 (B7, project data): \"Duration : August 2023 - November 2024 
 Partners : Weizenbaum-Institut, TU Berlin, DAIR Institut\"; F63 (B10, card title (TikTok, democracynow.org, video 1:26; URL not found)): \"The Distributed Artificial Intelligence Research Institute partners wi...\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-25", "archive_claims": [ "LV-25" ] }, { "lineage": "scale: the inquirers and their countries", "field_claims": [ "F43", "F68", "F4" ], "received": "F43 (B7, Methods s1): \"The team of researchers led by Dr. Miceli, Adio Dinika, Krystal Kauffmann, Camilla Wagner, and Laurenz Sachenbacher, has brought together 15 co-researchers from Venezuela, Kenya, Syria, and Germany and employment contexts, including content moderators and data annotators working for various outsourcing companies and platforms.\"; F68 (B12, About ¶2): \"This community-based research project has brought together 15 data workers from Kenya, Venezuela, Syria, Lebanon, and Germany, and diverse employment contexts, including various outsourcing companies and platforms. The data workers develop unique research questions, design and conduct their inquiries, and prepare a presentation format for their findings.\"; F4 (B1, home, The Inquiries ¶1): \"19 data workers in Venezuela, Kenya, Syria, Brazil, France and Germany conducting research with their colleagues in their respective workplaces and reporting on labor conditions and widespread practices in the AI industry.\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-25, LV-12, LV-13", "archive_claims": [ "LV-25", "LV-12", "LV-13" ] }, { "lineage": "reception: the encyclopedia", "field_claims": [ "F72", "F73" ], "received": "F72 (B13, Wikipedia: titles Data Workers' Inquiry, Data Workers Inquiry, Data Worker's Inquiry; article-space search): \"raw wikitext (action=raw), title Data_Workers'_Inquiry, 2026-10-29T22:32:02Z: HTTP 404 
 Wikipedia does not have an article with this exact name. 
 The pages \"Data Workers' Inquiry\" and '\"Data Workers' Inquiry\"' do not exist. One result: Content moderation.\"; F73 (B13, Content moderation, External links (wikitext line 102)): \"[https://data-workers.org/ Data Workers' Inquiry] a collaboration between [[Weizenbaum Institute]], [[Technische UniversitĂ€t Berlin]] and [[Distributed AI Research Institute|DAIR]]\"", "receiving_text": "—", "translation": "untranslated: composed as received beside LV-02, LV-03", "archive_claims": [ "LV-02", "LV-03" ] } ], "receiving_texts": "equal-terms case: every field claim composed as received, beside the archive claims it stands with" }, "measure": { "rule": "v0.9 §4.10: KO_B sentences surviving in the KO at similarity ≄ 0.95, with positions (computed as apply_v09.py does: difflib.SequenceMatcher ratio, the best KO sentence for each KO_B sentence)", "v0.9": { "surviving": 0, "of": 14, "positions": [ null, null, null, null, null, null, null, null, null, null, null, null, null, null ] }, "opening_run": { "rule": "v0.9 §5.10 (equal-terms case): the field-only KO's sentences as the KO's opening run in their own order", "breach": false }, "blocks": { "rule": "v0.9 §4.1 (equal-terms and mixed cases): the KO does not open with the field as a block or close with the archive as one; sentences typed by the ledgers of the claims they cite (F field-only, A archive-only, M both)", "sequence": "MMFMMFMFAAAAFAFFMFFMFMAMMMMAAM", "field_only_head": 0, "archive_only_tail": 0, "breach": false }, "max_similarity": [ 0.645, 0.686, 0.225, 0.215, 0.235, 0.38, 0.163, 0.116, 0.149, 0.284, 0.398, 0.25, 0.342, 0.333 ], "ko_sentence_1_max_similarity_to_KO_B": 0.645 }, "homonyms": { "names": [], "basis": "The census row carries no disambiguation field. No card is a homonym: every card concerns the project. 'Data Worker's Inquiry' (the press release, Bot Populi) and 'Data Workers Inquiry' (the Weizenbaum page, DAIR, SUPERRR) are spellings of the entity; 'DWI' is its acronym and is also the common abbreviation for driving while intoxicated, a homonym of the acronym only, not of the name. The distinct entities below are named by the field or the census beside the project and are never senses of its name.", "distinct_entities": [ "Karl Marx's Workers' Inquiry (EnquĂȘte ouvriĂšre, 1880), the questionnaire the project renews (B5, B7, B8)", "Workers' Inquiry as a Research Methodology (WIRM), the project's method and its AIES paper (B1, B2)", "the operators: the Distributed AI Research Institute (DAIR), the Weizenbaum Institute, TU Berlin (B5, B7, B12; Wikipedia's external link)", "Data Workers United, the successor project of DAIR and SUPERRR Lab (B6)", "the organizations the inquiries document: the African Content Moderators Union, the Data Labelers Association (B1, B2, B9)", "the firms the inquiries name: Sama, CloudFactory, Remotasks, Telus International, Scale AI, Amazon Mechanical Turk, TikTok, Apple, Meta (B1, B2; census direction)", "Turkopticon, the census's neighbour (its /non row, if built in this batch, is datasets/negative-of-the-negative/v2/rows/turkopticon.json; not edited)", "Ghost Work (Gray and Suri, 2019), the literature the archive's deposits read (#144, #163, #623), a distinct work" ], "substitutes": { "T": [] }, "register": { "address_1": { "slug": "data-workers-inquiry-aio-20261029", "obs_id": "OBS-636828a941e9" } } }, "notes": [ "One address, Google AI Overview (expanded), signed out, incognito, 2026-10-29: data-workers-inquiry-aio-20261029 (OBS-636828a941e9, ADDR-305c2994ed46, AXN:0AEB.CAPTURE.📋đŸŒčđŸȘđŸȘđŸ“–⚙), eleven cards, 268 words in the answer body with its closer. A NEW address; the census record landed the same day and no card cites it (CAP-1-08).", "Fetching: every reachable card saved verbatim with curl and the honest agent 'Mozilla/5.0 (compatible; Labor-Vector-census)' on 2026-10-29 between 22:31 and 22:33 UTC, raw and text with sha256 in field.json. Card URLs: B2, B5, B8 by WebSearch on title and site; B1 and B7 the census's own pages (B7 byte-identical to the census copy; B1 identical in text, the raw differing by per-request script ids); B6 from the project's name, confirmed by title and snippet; B9 from SUPERRR's sitemap after three searches failed. B12, the press release, copied from the census's saved copy (sha256 matches); not refetched.", "Refusals, recorded and not retried with another agent or by any other route (BRIEF-NEW-ROW-LABOR §4): B3, Instagram, a login redirect with HTTP 429; B4, YouTube, a Google CAPTCHA page with HTTP 429. Not found: B10 (TikTok, democracynow.org) and B11 (Facebook, DW Stories), two searches each; a democracynow.org page on data workers and Miceli's post on a DW interview (B6) were not substituted for the cards. Their titles (and B3's snippet) stand as their only text (F25, F26, F63, F64).", "Card snippets that are not their pages' text: cards 1 and 5 carry labelled snippets ('Overview: 
', 'Project: 
 Goal: 
') that occur nowhere in the served pages; card 3's snippet has the same labelled form and its page was refused, so it is ledgered as the card's only text (F25) with that caution. Recorded, not resolved.", "The archive subset: no archive text names the Data Workers' Inquiry, data-workers.org, WIRM, Miceli, Turkopticon, Remotasks or Sama, and no archive sentence treats the workers' inquiry (D 0, R 0). The string pass returned 79 O-class candidates in 51 deposits; reading admitted #18, #163, #222, #247, #258, #308, #478, #533, #623 and #1545; reading the class matches outside the pass admitted #144. The hop (113 candidates in 112 deposits) admitted none. #771 (the Directionality of Semantic Labor, with the directionality stack and user labor drag) was read as the brief directs and not admitted: it measures a synthetic system's labor against its user's commission, the census's intersection 'labor with AI', which the census does not give this entity; its bearing is the census's own reading (LV-20), given in the config's classes_note.", "Defects and out-of-date fields in the Labor Vector census record (reported, not fixed): (a) lifecycle.detail, version_and_time.repository_launch and unchecked[3] leave the launch year unstated; the field dates it: Tech Policy Press's episode of 28 July 2024 reports the launch event 'that took place earlier this month' (B5 F31), and DAIR's page says 'In 2024, we had an online event series' (B2): the launch was 8 July 2024. (b) stated_limits[0] 'none stated as limits' is contradicted by card 8, an essay by a core researcher (Laurenz Sachenbacher, Bot Populi, 29 April 2025): the organizing the project accompanied was 'largely forced to remain on a localized level' (F56), with the danger of listening to workers only after institutional attention and academics' tendency to 'fetishize' workers' perspectives (F57). (c) count and coverage: the field gives four counts, 19 on the home page (F4), 15 at launch from five countries with Lebanon (F68), 15 from four countries without Lebanon (Weizenbaum, F43), and 13 projects (Bot Populi, F50); the census carries two. (d) unit 'one data worker's research': several inquiries on the home page are collective ('by Lais, Layla & Omar', 'by Clara and B', 'By Aaliyah, Omar & DLA', 'by Anonymous Workers', B1.txt), so the unit is one inquiry by one or more workers. (e) The record has no field for the project's effects the field states: the European Parliament testimony of 22 February 2024 and the Platform Workers' Directive (F22, F55), the TIME 100 names (F24), the Prix Ars Electronica Award of Distinction (F36), the successor Data Workers United (F37), and that the community researchers are paid (F59): out of date, not contradicted. (f) Evidence quotes are not character-verbatim: the census normalizes curly apostrophes and quotes to straight ones ('Data Worker's Inquiry' for 'Data Worker’s Inquiry', 'union's creation' for 'union’s creation', 'Workers' Inquiry as a Research Methodology' for 'Workers’ 
'). (g) The rendered record's header tags show two intersections (Labor producing AI, Worker power) where the row has three; the body lists all three. (h) The census row has no disambiguation field (as on the MMRS and provenance rows).", "Findings of the capture the field ledger shows wrong or incomplete (reported, not fixed): findings[1] ('FIGURES BEYOND THE RECORD') and analysis s2 ('two vivid figures the record cannot source') hold against the census's saved sources but not against the field: the personal-data figure is on card 6, the project's LinkedIn page, which the composition surfaced: 'their faces, voices, and even photos of their children' (F34) and 'facial footage, identity documents, keystrokes, screen recordings and images made inside their own homes' (F35); the composition substitutes 'facial scans' and 'photos of family members'. Only the pay figure ('under $1–$2 an hour') has no field source. per_dim.read.notes ('the pay and NDA figures are not in the saved sources') likewise: NDAs are on cards 5, 8 and 9 (F29, F52, F61) and rejections on card 8 (F53). findings[0] quotes the Weizenbaum page with straight quotation marks ('\"Workers Inquiry\"') where the page has curly ones (“Workers Inquiry”). findings[3] 'its \"nine countries\" rests on the cards': the composition's body does not use the phrase; it lists nine country names. The other findings (the entity held at its grain; the negative tags unsaid; no count) are borne out by the field.", "Platform-specific note (BRIEF-NEW-ROW-LABOR §6) does not apply to this entity. The composer of this row is a Claude model; #534 (read, not admitted) names the labor conditions of the data annotators who helped train Claude as absent from Claude's constitution; recorded in reading.json.", "Related rows: the census names Turkopticon as the entity's neighbour; no Turkopticon row existed when this row was written (datasets/negative-of-the-negative/v2/rows/ was read). The capture's surface, Google AI Overview, has its own row (datasets/negative-of-the-negative/v2/rows/google-ai-overviews.json; not edited)." ], "composition_v09": { "source": "this row (composed directly; no rebuild/negative-of-the-negative/v09/data-workers-inquiry.json)", "composer": "Claude (Opus 5.5), subagent, 2026-10-29", "defining_material_read": [ { "what": "Labor Vector census record, row", "file": "/home/claude/fleet/laborvector/data/labor-census/census.json (rows[slug == 'data-workers-inquiry'], organizing_question, intersections, schema_note)", "read": "whole" }, { "what": "worked questions", "file": "/home/claude/fleet/laborvector/data/labor-census/questions.json (who-makes-ai)", "read": "the question naming the entity" }, { "what": "Labor Vector census record, rendered", "file": "/home/claude/fleet/laborvector/aggregators/data-workers-inquiry/index.html", "read": "text, for agreement with the row" }, { "what": "census sources", "file": "/home/claude/fleet/laborvector/data/labor-census/sources/data-workers-inquiry--home.*, --press.*, --weizenbaum.*", "read": "whole" }, { "what": "capture record", "file": "data/EA-WG-CAPTURES-01.json (data-workers-inquiry-aio-20261029)", "read": "transcript, transcript_raw, cite_list, d, reading, findings, analysis, q_kind, mt, per_dim.read.notes, originator" }, { "dep": 18, "file": "data/texts/AXN-013F-text.md", "read": "§I.4d and the passages of the candidates" }, { "dep": 144, "file": "data/texts/AXN-02DB-text.md", "read": "node E (the digital-extraction / AI cluster)" }, { "dep": 163, "file": "data/texts/AXN-02FE-text.md", "read": "§II.5 and the comparison table" }, { "dep": 222, "file": "data/texts/AXN-0016-text.md", "read": "'Who Gets Hurt'" }, { "dep": 247, "file": "data/texts/AXN-0030-text.md", "read": "the definition table and closing paragraph" }, { "dep": 258, "file": "data/texts/AXN-003C-text.md", "read": "the correction of the semantic-labor definition" }, { "dep": 308, "file": "data/texts/AXN-006F-text.md", "read": "§B conversion efficiency" }, { "dep": 478, "file": "data/texts/AXN-0129-text.md", "read": "the ÎŁ/Γ table and Case 2" }, { "dep": 533, "file": "data/texts/AXN-0168-text.md", "read": "the diagnostic protocol, Step 1, and footnote 9" }, { "dep": 623, "file": "data/texts/AXN-01DA-text.md", "read": "the material dimension and the 'Second' paragraph" }, { "dep": 1545, "file": "data/texts/AXN-0644-text.md", "read": "the negative tags and §15" }, { "dep": 771, "file": "data/texts/AXN-02D1-text.md", "read": "the header, SIMs, §§1, 8 and 10 (read and not admitted)" }, { "what": "the specification", "file": "data/texts/AXN-0700-text.md", "read": "§0–§11 whole; 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The snippet is the page's text (¶3 s1). 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