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.
Pinned Sources (field 6, version-specific)
- “Roy Chowdhury & Garimella, “How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries,” arXiv:2610.18465, 2026” → SRC-SL-ROY-CHOWDHURY-GARIMELLA-ARXIV-2610-18465--v1.0 — Roy Chowdhury & Garimella, “How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries,” arXiv:2610.18465, 2026; 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-C23 | — |
| 2 | PUBLIC-FACING CLAIM | 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. | — |
| 3 | CLAIM TYPE | ESTIMATE | base_types: ESTIMATE |
| 4 | RESEARCH STRAND | B — Data and access | — |
| 5 | MATURITY | EMERGING | states: EMERGING |
| 6 | SOURCE | Roy Chowdhury & Garimella, “How Safe Is ChatGPT Health Advice? Evidence from Real User Conversations in Four Global South Countries,” arXiv:2610.18465, 2026 | source_ids: SRC-SL-ROY-CHOWDHURY-GARIMELLA-ARXIV-2610-18465 |
| 7 | SOURCE TYPE | Preprint | classes: PREPRINT |
| 8 | INSTITUTIONAL POSITION | Independent academic (Rutgers University) and an independent researcher | — |
| 9 | SCOPE | ChatGPT users in four countries who donated their full conversation histories | — |
| 10 | DESIGN | Consent-based, paid data donation using the product’s export function; rubric-based risk rating | — |
| 11 | SAMPLE / DATASET | 202,590 conversations from 1,252 users; 15,555 health conversations | — |
| 12 | MODEL / TOOL / VERSION | ChatGPT (studied); Gemini 3.1 Pro Preview as the risk judge | — |
| 13 | COMPARATOR | Ratings with and without the user’s own context | — |
| 14 | MAIN RESULT | About 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 | — |
| 15 | INFERENTIAL TARGET | Whether data donation can give independent access to real AI use | — |
| 16 | DOES NOT LICENSE | A population estimate for all users, or a route that scales without paying donors | — |
| 17 | VERIFICATION STATE | CONTENT VERIFIED PREPRINT | state: CONTENT_VERIFIED_PRIMARY · qualifiers: PREPRINT · verified_by: UNKNOWN |
| 18 | LIMITATIONS | Read 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 | — |
| 19 | CONTRADICTORY / SUPPORTING SOURCES | LD08-SL-C22 | — |
| 20 | GEOGRAPHY / LANGUAGE | Multi-country | — |
| 21 | DISTRIBUTIONAL LEDGER | Studies users in four lower- and middle-income countries | — |
| 22 | R01 / FIELD-MAP LINKS | LD-08, D3 | — |
| 23 | WHAT WOULD CHANGE THIS CLAIM? | Evidence that donation samples match the platform’s user population | — |
| 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)
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; fixturefixtures/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".