Keywords :
crowdsourcing; fact-checking; Misinformation; moral outrage; online emotions; social media; Community-based; Experimental methods; Fact-checking; Large-scales; Moral emotions; Moral outrage; Online emotion; Social media; Social norm; Human-Computer Interaction; Computer Graphics and Computer-Aided Design; Software; cs.SI; Computer Science - Human-Computer Interaction
Abstract :
[en] Displaying community fact-checks is a promising approach to reduce engagement with misinformation on social media. However, how users respond to misleading content emotionally after community fact-checks are displayed on posts is unclear. Here, we employ quasi-experimental methods to causally analyze changes in sentiments and (moral) emotions in replies to misleading posts following the display of community fact-checks. Our evaluation is based on a large-scale panel dataset comprising N = 2225260 replies across 1841 source posts from X's Community Notes platform. We find that informing users about falsehoods through community fact-checks significantly increases negativity (by 7.3%), anger (by 13.2%), disgust (by 4.7%), and moral outrage (by 16.0%) in the corresponding replies. These results indicate that users perceive spreading misinformation as a violation of social norms and that those who spread misinformation should expect negative reactions once their content is debunked. We derive important implications for the design of community-based fact-checking systems.
Funding text :
This research is supported by the Luxembourg National Research Fund (FNR) and Belgian National Fund for Scientific Research (FNRS), as part of the project REgulatory Solutions to MitigatE DISinformation (REMEDIS), ref. INTER_FNRS_21_16554939_REMEDIS. Furthermore, this research is supported by a research grant from the German Research Foundation (DFG grant 492310022).
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