mlsanityData to 14 Oct 2026

Can Community Notes Replace Professional Fact-Checkers?

arXiv 2502.14132 ↗First posted 19 Feb 2025cs.CL cs.AIcited by 8

Not on the map. Why?

Abstract (arXiv)

Two commonly employed strategies to combat the rise of misinformation on social media are (i) fact-checking by professional organisations and (ii) community moderation by platform users. Policy changes by Twitter/X and, more recently, Meta, signal a shift away from partnerships with fact-checking organisations and towards an increased reliance on crowdsourced community notes. However, the extent and nature of dependencies between fact-checking and helpful community notes remain unclear. To address these questions, we use language models to annotate a large corpus of Twitter/X community notes with attributes such as topic, cited sources, and whether they refute claims tied to broader misinformation narratives. Our analysis reveals that community notes cite fact-checking sources up to five times more than previously reported. Fact-checking is especially crucial for notes on posts linked to broader narratives, which are twice as likely to reference fact-checking sources compared to other sources. Our results show that successful community moderation relies on professional fact-checking and highlight how citizen and professional fact-checking are deeply intertwined.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Builds on 9 of its 53 references that are in the map. First posted on arXiv 19 Feb 2025.

Builds on

9 of 53 references.

References · 9

  1. 2023Factuality Challenges in the Era of Large Language Modelscited by 126
  2. 2025Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checkingcited by 29
  3. 2022Human and technological infrastructures of fact-checkingcited by 16
  4. 2022Crowdsourced Fact-Checking at Twitter: How Does the Crowd Compare With Experts?cited by 16
  5. 2021Community-Based Fact-Checking on Twitter's Birdwatch Platformcited by 13
  6. 2024What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verificationcited by 10
  7. 2024Who Checks the Checkers? Exploring Source Credibility in Twitter's Community Notescited by 6
  8. 2024Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Mediacited by 4
  9. 2023Community Notes vs. Snoping: How the Crowd Selects Fact-Checking Targets on Social Mediacited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 5.

8 papers.