Claim LD08-SL-C12 (v1.0)
In about 102,000 arXiv AI papers (2014–2024), the share of societally oriented sentences written by computer-science-only teams rose from 49.0% to 71.2%, while the share written by teams including social scientists or humanists fell from 25.7% to 3.8%, although such teams wrote the most societally oriented papers (20.9% of sentences, against 7.8% for computer-science-only teams).
Research opportunities this claim motivates
What this claim leaves open for research. Each is a hypothesis about a gap, not a finding.
- Who writes research on AI's social effects outside arXiv?The rise of computer-science-only teams is measured on arXiv papers only.
Provenance and status
- Claim type
- ESTIMATE (as printed: “ESTIMATE”)
- Publication status
- ELIGIBLE (STRONG_SCOPE) (as printed: “ELIGIBLE WITH STRONG SCOPE QUALIFIER”)
- Verification state
- CONTENT_VERIFIED_PRIMARY (PREPRINT) (as printed: “CONTENT VERIFIED PREPRINT”; verified by: UNKNOWN)
- Does not license
- Any statement about research on AI’s social effects published in social-science journals, books or policy reports
- Source (field 6, as printed)
- Markus, Gilardi & Stetsenko, “Societal AI Research Has Become Less Interdisciplinary,” arXiv:2506.08738, 2025
- Source type (field 7)
- PREPRINT (as printed: “Preprint”)
- Institutional position
- Independent academic (University of Zurich)
- 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
Current version v1.0, resolved through the explicit current pointer CLAIM--LD08-SL-C12.
Pinned Sources (field 6, version-specific)
- “Markus, Gilardi & Stetsenko, “Societal AI Research Has Become Less Interdisciplinary,” arXiv:2506.08738, 2025” → SRC-SL-MARKUS-GILARDI-STETSENKO-ARXIV-2506-08738--v1.0 — Markus, Gilardi & Stetsenko, “Societal AI Research Has Become Less Interdisciplinary,” arXiv:2506.08738, 2025; class PREPRINT (explicit public provenance pin)
All 25 canonical Claim fields (raw values and normalized values)
| # | Canonical field | Canonical value (verbatim) | Normalized (Claim Value Vocabulary v1.0.2) |
|---|---|---|---|
| 1 | CLAIM ID | LD08-SL-C12 | — |
| 2 | PUBLIC-FACING CLAIM | In about 102,000 arXiv AI papers (2014–2024), the share of societally oriented sentences written by computer-science-only teams rose from 49.0% to 71.2%, while the share written by teams including social scientists or humanists fell from 25.7% to 3.8%, although such teams wrote the most societally oriented papers (20.9% of sentences, against 7.8% for computer-science-only teams). | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | A — Who produces knowledge about AI | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Markus, Gilardi & Stetsenko, “Societal AI Research Has Become Less Interdisciplinary,” arXiv:2506.08738, 2025 | source_ids: SRC-SL-MARKUS-GILARDI-STETSENKO-ARXIV-2506-08738 |
| 7 | SOURCE TYPE | Preprint | classes: PREPRINT |
| 8 | INSTITUTIONAL POSITION | Independent academic (University of Zurich) | — |
| 9 | SCOPE | arXiv papers in cs.AI, cs.CV, cs.CL and cs.CY, 2014–2024; social-science journals deliberately excluded | — |
| 10 | DESIGN | Authors assigned to disciplines from their prior publications; a sentence classifier for societal orientation applied to introductions and conclusions; research questions extracted with a language model | — |
| 11 | SAMPLE / DATASET | 101,919 unique papers | — |
| 12 | MODEL / TOOL / VERSION | SciBERT-based classifier (F1 0.93); Llama 3.1 8B for research-question extraction | — |
| 13 | COMPARATOR | Teams of other compositions | — |
| 14 | MAIN RESULT | Computer-science-only share of societal sentences 49.0% (2014) to 71.2% (2024); teams with social scientists or humanists 25.7% to 3.8%; those teams average 20.9% societal sentences against 7.8% for computer-science-only teams | — |
| 15 | INFERENTIAL TARGET | Who writes the societally framed parts of technical AI research | — |
| 16 | DOES NOT LICENSE | Any statement about research on AI’s social effects published in social-science journals, books or policy reports | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED PREPRINT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Read in arXiv version 2 (11 June 2025); no journal version found; the text says interdisciplinary teams are stably about 75% of output while a figure caption says computer-science-only teams are the majority, which this claim does not resolve; teams with social scientists or humanists exclude fully interdisciplinary teams; the classifier read abstract, introduction and conclusion, and many papers lacked one of them; differences hold in a fixed-effects model controlling for year, subfield, team size and length; computational social scientists may be labelled computer science | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | FAccT is majority STEM: LD08-SL-C13 | — |
| 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? | The same measure applied to social-science journals and books, or resolution of the team-share inconsistency | — |
| 24 | PUBLICATION STATUS | ELIGIBLE WITH STRONG SCOPE QUALIFIER | state: ELIGIBLE · qualifiers: STRONG_SCOPE |
| 25 | RECORDED DATE | 2026-10-16 | — |
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 1b240eabd456b85ef26c0f803b83a034cb44fb7bf467bd7f5ea26d1b85ccdadd.
Repository-authored inputs (not Drive exports)
- SocioLens claim — LD08-SL-C12 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 12 — LD08-SL-C12” SHA-256
1dbe99ee9a0d771e1022746c480c2c6b1de2486029ad67ee7e64088f2909cb29; fixturefixtures/authored/claims/LD08-SL-C12--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-C12 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-C12 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-MARKUS-GILARDI-STETSENKO-ARXIV-2506-08738--v1.0 — basis: field 6 of ENTRY 12 — LD08-SL-C12 cites "Markus, Gilardi & Stetsenko, “Societal AI Research Has Become Less Interdisciplinary,” arXiv:2506.08738, 2025"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
- SOURCE_PROVENANCE_PIN = SRC-SL-MARKUS-GILARDI-STETSENKO-ARXIV-2506-08738--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Markus, Gilardi & Stetsenko, “Societal AI Research Has Become Less Interdisciplinary,” arXiv:2506.08738, 2025".