Private preview. Not published and not indexed.

Claim LD08-SL-C09 (v1.0)

In 10,772 NeurIPS, ICML and CVPR papers (2015–2019), only three contained an explicit conflict-of-interest statement, although 15–20% of purely academic papers named a company in their acknowledgements; industry and academic papers differed by only 3.1% in their use of social-impact terms, academic papers using them slightly more.

Provenance and status

Claim type
ESTIMATE (as printed: “ESTIMATE”)
Publication status
ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state
CONTENT_VERIFIED_PRIMARY (PREPRINT) (as printed: “CONTENT VERIFIED PREPRINT”; verified by: UNKNOWN)
Does not license
That industry research is as critical as academic research, or that acknowledged companies funded the work; keyword counts measure mention, not stance
Source (field 6, as printed)
Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021
Source type (field 7)
PEER_REVIEWED_JOURNAL_ARTICLE (as printed: “Peer-reviewed journal article”)
Institutional position
Independent academic (University of Tübingen)
Maturity (claim evidence / publication maturity)
EMERGING (as printed: “EMERGING”)
Recorded date
2026-10-16
Currentness / correction
This is the current version. No correction or concern relation is recorded on its Sources.

Version

Pinned version v1.0 (entry LD08-SL-C09--v1.0) — this page never floats to newer evidence.

This pinned version is also the current version.

Versions:v1.0 · current

Pinned Sources (field 6, version-specific)

All 25 canonical Claim fields (raw values and normalized values)
#Canonical fieldCanonical value (verbatim)Normalized (Claim Value Vocabulary v1.0.2)
1CLAIM IDLD08-SL-C09—
2PUBLIC-FACING CLAIMIn 10,772 NeurIPS, ICML and CVPR papers (2015–2019), only three contained an explicit conflict-of-interest statement, although 15–20% of purely academic papers named a company in their acknowledgements; industry and academic papers differed by only 3.1% in their use of social-impact terms, academic papers using them slightly more.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDA — Who produces knowledge about AI—
5MATURITYEMERGINGstates: EMERGING
6SOURCEHagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021source_ids: SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021
7SOURCE TYPEPeer-reviewed journal articleclasses: PEER_REVIEWED_JOURNAL_ARTICLE
8INSTITUTIONAL POSITIONIndependent academic (University of Tübingen)—
9SCOPEThree leading machine-learning conferences, 2015–2019—
10DESIGNAffiliation and acknowledgement coding; keyword counts for conflict-of-interest statements and social-impact terms—
11SAMPLE / DATASET10,772 papers searched (10,807 collected)—
12MODEL / TOOL / VERSIONNot applicable—
13COMPARATORAcademic-only, industry-only and mixed papers—
14MAIN RESULTThree papers with an explicit conflict-of-interest statement; 15–20% of academic-only papers name a company in their acknowledgements; social-impact terms differ by 3.1% (95% CI 0.2–6.0, p = 0.034), academic papers higher—
15INFERENTIAL TARGETDisclosure of industry ties, and attention to social impact, in industry and academic machine-learning research—
16DOES NOT LICENSEThat industry research is as critical as academic research, or that acknowledged companies funded the work; keyword counts measure mention, not stance—
17VERIFICATION STATECONTENT VERIFIED PREPRINTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18LIMITATIONSRead in arXiv version 2 (19 October 2020), which predates the AI & Society article; keyword proxies; affiliation term lists match about 90% of papers; technical venues only; data end in 2019—
19CONTRADICTORY / SUPPORTING SOURCESLD08-SL-C04; LD08-SL-C10—
20GEOGRAPHY / LANGUAGEGlobal / English—
21DISTRIBUTIONAL LEDGERNot analysed in this claim—
22R01 / FIELD-MAP LINKSLD-08, D3—
23WHAT WOULD CHANGE THIS CLAIM?A study of stance, not keywords, or of disclosure after venues introduced required statements—
24PUBLICATION STATUSELIGIBLE WITH PREPRINT QUALIFIERstate: ELIGIBLE · qualifiers: PREPRINT
25RECORDED DATE2026-10-16—

Field 22 references resolved against Field Map v0.2: LD-08 (LIVING_DEBATE); D3 (DOMAIN)

Cited by Living Debate versions

Research-of-record provenance

Materialized by sociolens-materializer 0.6.0 at 2026-09-28T20:00:00.000Z; normalization contract SocioLens — Claim Value Vocabulary v1.0.2 — Pre-Spike Materialization Contract (v1.0.2). Content seal SHA-256 89a74b78e7bbf2580cf282967bc7df89c0251439e50a7486c1a8a4aae16e16c1.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD08-SL-C09 v1.0 (v1.0) — written in the SocioLens repository by Project Lead (Claude, AI) on 2026-10-16; no Drive identity exists. Authority: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-08 debate; a new Claim, first version, written from the project's LD-08 source notes, checked against full texts, official web pages or official abstracts. Block “ENTRY 09 — LD08-SL-C09” SHA-256 0ad1d10c6c025bc55a0a6b5829d3d3337f4edde61706dfbf8658f1db0de58d16; fixture fixtures/authored/claims/LD08-SL-C09--v1.0.

Builder decisions (not Drive data)

  • VERSION = v1.0 — basis: Claim version taken from the repository-authored claim fixture version (SocioLens claim — LD08-SL-C09 v1.0); the first version of a new Claim of the LD-08 debate
  • CURRENT_POINTER = true — basis: repository-authored claim "SocioLens claim — LD08-SL-C09 v1.0" (Project Lead (Claude, AI), 2026-10-16); basis: AGENTS.md "Authority" (the Project Lead decides research content within the research-integrity rules) and the Owner's choice in the SocioLens project chat on 16 October 2026 to build the LD-08 debate; a new Claim, first version, written from the project's LD-08 source notes, checked against full texts, official web pages or official abstracts
  • FIELD_6_SOURCE_REFERENCE = SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021--v1.0 — basis: field 6 of ENTRY 09 — LD08-SL-C09 cites "Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021".