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.

SocioLens project,

Claim LD08-SL-C09 (v1.0)

Research opportunities this claim motivates

What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.

Does industry funding or data access change what research on AI's social effects finds?Three explicit conflict-of-interest statements in 10,807 machine-learning papers.

Provenance and status

Claim type: Estimate
Publication status: Eligible for publication, with qualifiers: preprint
Verification state: Checked against the primary source; the source is a preprint. Who checked this claim is not recorded for it; claim checks so far were AI-led, and no person has checked claims against their sources.
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
Limitations: Read 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
Source (as cited): Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021
Source type: Peer-reviewed journal article (recorded as “Peer-reviewed journal article”)
Institutional position: Independent academic (University of Tübingen)
Maturity of the evidence: Emerging evidence
Recorded date: 16 October 2026
Currentness / correction: This is the current version. No correction or concern is recorded on its sources.

Sources this version cites

Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021 (Peer-reviewed journal article)
Read the original

Version

This is the current version, v1.0. Earlier versions stay available, and their records never change.

Versions: v1.0 · current

Raw record: every recorded field, with its coded values

All 25 canonical Claim fields, verbatim, with the coded values derived from them. The plain-language labels above are read from these.

Claim type (coded): ESTIMATE (as printed: “ESTIMATE”)
Publication status (coded): ELIGIBLE (PREPRINT) (as printed: “ELIGIBLE WITH PREPRINT QUALIFIER”)
Verification state (coded): CONTENT_VERIFIED_PRIMARY (PREPRINT)
Source type (coded): PEER_REVIEWED_JOURNAL_ARTICLE
Maturity (coded): EMERGING

#	Canonical field	Canonical value (verbatim)	Normalized (Claim Value Vocabulary v1.0.2)
1	CLAIM ID	LD08-SL-C09	—
2	PUBLIC-FACING CLAIM	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.	—
3	CLAIM TYPE	ESTIMATE	base_types: ESTIMATE
4	RESEARCH STRAND	A — Who produces knowledge about AI	—
5	MATURITY	EMERGING	states: EMERGING
6	SOURCE	Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021	source_ids: SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021
7	SOURCE TYPE	Peer-reviewed journal article	classes: PEER_REVIEWED_JOURNAL_ARTICLE
8	INSTITUTIONAL POSITION	Independent academic (University of Tübingen)	—
9	SCOPE	Three leading machine-learning conferences, 2015–2019	—
10	DESIGN	Affiliation and acknowledgement coding; keyword counts for conflict-of-interest statements and social-impact terms	—
11	SAMPLE / DATASET	10,772 papers searched (10,807 collected)	—
12	MODEL / TOOL / VERSION	Not applicable	—
13	COMPARATOR	Academic-only, industry-only and mixed papers	—
14	MAIN RESULT	Three 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	—
15	INFERENTIAL TARGET	Disclosure of industry ties, and attention to social impact, in industry and academic machine-learning research	—
16	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	—
17	VERIFICATION STATE	CONTENT VERIFIED PREPRINT	state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18	LIMITATIONS	Read 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	—
19	CONTRADICTORY / SUPPORTING SOURCES	LD08-SL-C04; LD08-SL-C10	—
20	GEOGRAPHY / LANGUAGE	Global / English	—
21	DISTRIBUTIONAL LEDGER	Not analysed in this claim	—
22	R01 / FIELD-MAP LINKS	LD-08, D3	—
23	WHAT WOULD CHANGE THIS CLAIM?	A study of stance, not keywords, or of disclosure after venues introduced required statements	—
24	PUBLICATION STATUS	ELIGIBLE WITH PREPRINT QUALIFIER	state: ELIGIBLE · qualifiers: PREPRINT
25	RECORDED DATE	2026-10-16	—

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

The sources as recorded, with their record IDs and coded source types:

Pinned Sources (field 6, version-specific)

“Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021” → Hagendorff & Meding (2021), “Ethical considerations and…” (SRC-SL-HAGENDORFF-MEDING-AI-SOCIETY-2021--v1.0) — Hagendorff & Meding, “Ethical considerations and statistical analysis of industry involvement in machine learning research,” AI & Society, 2021; class PEER_REVIEWED_JOURNAL_ARTICLE (explicit public provenance pin)

Cited by Living Debate versions

Who can know about AI? Epistemic dependence and jurisdiction over the field (v0.1) LD-08

Cite this page

SocioLens project. (2026, October 16). 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 [Claim LD08-SL-C09, version v1.0]. SocioLens. https://sociolens-web.pages.dev/claims/ld08-sl-c09/v1.0/

@misc{sociolens_ld08_sl_c09_v1_0,
  author = {{SocioLens project}},
  title = {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.},
  year = {2026},
  date = {2026-10-16},
  howpublished = {\url{https://sociolens-web.pages.dev/claims/ld08-sl-c09/v1.0/}},
  note = {Claim LD08-SL-C09, version v1.0}
}

The link points to this version, whose record never changes. For a finding, cite the original study as well: SocioLens summarizes research and does not replace it.

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".