Private preview. Not published and not indexed.

Claim LD08-SL-C23 (v1.0)

Researchers studied ChatGPT health advice without the developer’s involvement by collecting 202,590 donated conversations from 1,252 users in India, Nigeria, Brazil and Pakistan (December 2022 to February 2026); an AI judge applying a published rubric rated roughly one in five health conversations high-risk.

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
A population estimate for all users, or a route that scales without paying donors
Source (field 6, as printed)
Roy Chowdhury & Garimella, “How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries,” arXiv:2610.18465, 2026
Source type (field 7)
PREPRINT (as printed: “Preprint”)
Institutional position
Independent academic (Rutgers University) and an independent researcher
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-C23--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-C23—
2PUBLIC-FACING CLAIMResearchers studied ChatGPT health advice without the developer’s involvement by collecting 202,590 donated conversations from 1,252 users in India, Nigeria, Brazil and Pakistan (December 2022 to February 2026); an AI judge applying a published rubric rated roughly one in five health conversations high-risk.—
3CLAIM TYPEESTIMATEbase_types: ESTIMATE
4RESEARCH STRANDB — Data and access—
5MATURITYEMERGINGstates: EMERGING
6SOURCERoy Chowdhury & Garimella, “How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries,” arXiv:2610.18465, 2026source_ids: SRC-SL-ROY-CHOWDHURY-GARIMELLA-ARXIV-2610-18465
7SOURCE TYPEPreprintclasses: PREPRINT
8INSTITUTIONAL POSITIONIndependent academic (Rutgers University) and an independent researcher—
9SCOPEChatGPT users in four countries who donated their full conversation histories—
10DESIGNConsent-based, paid data donation using the product’s export function; rubric-based risk rating—
11SAMPLE / DATASET202,590 conversations from 1,252 users; 15,555 health conversations—
12MODEL / TOOL / VERSIONChatGPT (studied); Gemini 3.1 Pro Preview as the risk judge—
13COMPARATORRatings with and without the user’s own context—
14MAIN RESULTAbout one in five health conversations rated high-risk; in a context-aware subsample of 5,657 conversations, adding the user’s context raised the high-risk share by 13–17 percentage points, which the authors say does not extrapolate—
15INFERENTIAL TARGETWhether data donation can give independent access to real AI use—
16DOES NOT LICENSEA population estimate for all users, or a route that scales without paying donors—
17VERIFICATION STATECONTENT VERIFIED PREPRINTstate: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN
18LIMITATIONSRead in arXiv version 1 (13 October 2026); donors are a paid convenience sample of crowdworkers; risk dimensions and anchors are taken from Kempermann et al. (2026) and applied by an AI judge, with the authors’ own high-risk cut-off; scores measure risk, not health outcomes; the intent classifier was validated (κ = 0.78); data are released on OSF—
19CONTRADICTORY / SUPPORTING SOURCESLD08-SL-C22—
20GEOGRAPHY / LANGUAGEMulti-country—
21DISTRIBUTIONAL LEDGERStudies users in four lower- and middle-income countries—
22R01 / FIELD-MAP LINKSLD-08, D3—
23WHAT WOULD CHANGE THIS CLAIM?Evidence that donation samples match the platform’s user population—
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 15748f6eb17e0a4a228fc4521f283b2e08a18f42defff755fed0154e3093d67d.

Repository-authored inputs (not Drive exports)

  • SocioLens claim — LD08-SL-C23 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 23 — LD08-SL-C23” SHA-256 7ecd4963c10f75710c4ed2fd1795e89a482ab504be62b371091cf18f55dea6a8; fixture fixtures/authored/claims/LD08-SL-C23--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-C23 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-C23 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-ROY-CHOWDHURY-GARIMELLA-ARXIV-2610-18465--v1.0 — basis: field 6 of ENTRY 23 — LD08-SL-C23 cites "Roy Chowdhury & Garimella, “How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries,” arXiv:2610.18465, 2026"; the only field-6 segment of this ClaimVersion's repository-authored ledger block.
  • SOURCE_PROVENANCE_PIN = SRC-SL-ROY-CHOWDHURY-GARIMELLA-ARXIV-2610-18465--v1.0 — basis: explicit version-pinned public provenance of this ClaimVersion (Amendment v1.2 §6): the pinned field-6 Source record "Roy Chowdhury & Garimella, “How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries,” arXiv:2610.18465, 2026".