mlsanityData to 14 Oct 2026

Truth with a Twist: The Rhetoric of Persuasion in Professional vs. Community-Authored Fact-Checks

arXiv 2601.14105 ↗First posted 20 Jan 2026cs.CLcited by 0

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Abstract (arXiv)

This study presents the first large-scale comparison of persuasion techniques present in crowd- versus professionally-written debunks. Using extensive datasets from Community Notes (CNs), EUvsDisinfo, and the Database of Known Fakes (DBKF), we quantify the prevalence and types of persuasion techniques across these fact-checking ecosystems. Contrary to prior hypothesis that community-produced debunks rely more heavily on subjective or persuasive wording, we find no evidence that CNs contain a higher average number of persuasion techniques than professional fact-checks. We additionally identify systematic rhetorical differences between CNs and professional debunking efforts, reflecting differences in institutional norms and topical coverage. Finally, we examine how the crowd evaluates persuasive language in CNs and show that, although notes with more persuasive elements receive slightly higher overall helpfulness ratings, crowd raters are effective at penalising the use of particular problematic rhetorical means

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 26 references that are in the map. First posted on arXiv 20 Jan 2026.

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11 of 26 references.

References · 11

  1. 2022Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformationcited by 21
  2. 2023Bridging Systems: Open Problems for Countering Destructive Divisiveness across Ranking, Recommenders, and Governancecited by 17
  3. 2023Weakly Supervised Veracity Classification with LLM-Predicted Credibility Signalscited by 14
  4. 2024EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articlescited by 10
  5. 2022Diffusion of Community Fact-Checked Misinformation on Twittercited by 7
  6. 2024Community-based fact-checking reduces the spread of misleading posts on social mediacited by 7
  7. 2024Who Checks the Checkers? Exploring Source Credibility in Twitter's Community Notescited by 6
  8. 2023SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classificationcited by 5
  9. 2025Community Moderation and the New Epistemology of Fact Checking on Social Mediacited by 5
  10. 2024Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Mediacited by 4
  11. 2025Timeliness, Consensus, and Composition of the Crowd: Community Notes on Xcited by 4

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