AXN:0003.EMPIRICAL.โ›ณ๐ŸŽฌ๐Ÿ‘โ€๐Ÿ—จ๐Ÿ•–๐Ÿ›ธ๐ŸŒธ
prior form: AXN:0003.EMPIRICAL.๐ŸŽญ๐Ÿ”™๐ŸŸก๐ŸŒช๏ธ๐Ÿ“–๐ŸŒƒ
โš  Superseded โ€” this is version v8.3
Current version: #1676 v12.167
EA-WG-CAPTURES-01 version chain. This edition (v8.3) is superseded by v10.9 at deposit #1461. Forward pointer added 2026-08-14; before that date no edition of this work pointed forward and a reader arriving at an early edition had no route to the current one. Forward pointer moved to v12.167 (#1676) on 2026-10-12; v10.9 (#1461) is the intervening edition.

AI Overview Capture Registry v8.3

Lee Sharks ยท 2026-06-17 ยท Dataset ยท v8.3
Deposit accountability: Lee Sharks, ORCID 0009-0000-1599-0703
Substrate: AI-generated (research object) โ€” AI output is the object of study
License: CC-BY-4.0
โ†“ Download MD โ†“ PDF
AI OverviewGooglecomposition layercapture registrydatasetempirical observationcompositional bystanding
Authoritative identifier: AXN:0003.EMPIRICAL.โ›ณ๐ŸŽฌ๐Ÿ‘โ€๐Ÿ—จ๐Ÿ•–๐Ÿ›ธ๐ŸŒธ โ€” content-derived; resolves at /s/axn/0003/. Cite this record by AXN and URL.
former DOI 10.5281/zenodo.20741160 โ€” severed 2026-06-19 by the registrant; resolves to a tombstone (HTTP 410); resolution page

Description

Empirical dataset documenting AI composition-layer behavior across 176 captures of Google AI Overview and AI Mode responses. The registry records query design, surface type, match assessment, compositional analysis, and screenshot evidence for each capture. 205 images across two gallery mirrors. The dataset documents how AI summarization systems receive, compress, and redistribute scholarly content โ€” making it both a primary research dataset and a methodological demonstration of Machine-Mediated Reception Studies. At the time of removal from Zenodo, the dataset had received over 1,000 downloads.

The encyclopedic entry for this work is on its identifier page: /s/axn/0003/

Full Text

Empirical dataset documenting AI composition-layer behavior across 176 captures of Google AI Overview and AI Mode responses. The registry records query design, surface type, match assessment, compositional analysis, and screenshot evidence for each capture. 205 images across two gallery mirrors. The dataset documents how AI summarization systems receive, compress, and redistribute scholarly content โ€” making it both a primary research dataset and a methodological demonstration of Machine-Mediated Reception Studies. At the time of removal from Zenodo, the dataset had received over 1,000 downloads.

DATASET ยท machine-readable
data/EA-WG-CAPTURES-01.json
27.2 MB ยท JSON ยท CC-BY-4.0
โ†“ Download JSON

The full dataset is the canonical artifact for this deposit. The Markdown download button above provides metadata only.

Version history

Series: ea-wg-captures

Record modifications
The deposited text is immutable; these are changes to the record's metadata and declared state.

Traversal

โ† #2 I AM THE API#4 Zenodo DOI Resolution Index v3.11.0 โ†’
In the registry: 2026-06 ยท EMPIRICAL ยท Machine-Mediated Reception Studies (MMRS) ยท all deposits
Cited by (29)
Other versions of this work (7)
Work concept: ai overview capture registry 633 semantic addresses 811 captures 2026 06 07 to 2026 10 12