Community corrections have divergent downstream effects across corrected accounts

2026-08-27

AI Summary

研究通过大规模准实验分析社区笔记系统对被纠正账户的影响，发现单次和多次被纠正的账户行为变化不同，表明纠正内容与改变生产者行为是平台设计中不同的目标。

Abstract

Community-based fact-checking can reduce the spread of annotated misleading posts, but whether it produces lasting behavioral change among corrected authors remains unclear. Here, we conduct a large-scale quasi-experimental study of the Community Notes system on X (formerly Twitter), tracking four weeks of activity before and after note display for 19,854 accounts and 57,935 corrections (noted posts and matched controls), covering 11,909,591 original posts. Difference-in-Differences estimates show that note display is followed by an average 2.9% increase in corrected accounts' original-post activity. This aggregate conceals two divergent trajectories. Accounts corrected only once reduce their activity by 2.4% and subsequently publish less toxic and less misleading content. Repeatedly corrected accounts, which constitute 28.6% of corrected accounts but produce 73.4% of fact-checked posts, instead increase their activity by 4.4% after their first correction and show no detectable response to later ones. They exhibit no comparable content improvement, and instead publish more highly misleading posts, cite lower-quality domains, and post more political content. Community notes can thus constrain individual misleading posts without durably improving the behavior of the accounts most responsible for them, indicating that correcting content and changing its producers are distinct objectives for platform design.

Problem

• community corrections
• lasting behavioral change
• repeatedly corrected accounts
• misleading posts

Innovation

• Community-based fact-checking
• Difference-in-Differences
• Content improvement