Yuwei Chuai, Anastasia Sergeeva, Gabriele Lenzini, Nicolas Pröllochs
{"title":"Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media","authors":"Yuwei Chuai, Anastasia Sergeeva, Gabriele Lenzini, Nicolas Pröllochs","doi":"arxiv-2409.08829","DOIUrl":null,"url":null,"abstract":"Displaying community fact-checks is a promising approach to reduce engagement\nwith misinformation on social media. However, how users respond to misleading\ncontent emotionally after community fact-checks are displayed on posts is\nunclear. Here, we employ quasi-experimental methods to causally analyze changes\nin sentiments and (moral) emotions in replies to misleading posts following the\ndisplay of community fact-checks. Our evaluation is based on a large-scale\npanel dataset comprising N=2,225,260 replies across 1841 source posts from X's\nCommunity Notes platform. We find that informing users about falsehoods through\ncommunity fact-checks significantly increases negativity (by 7.3%), anger (by\n13.2%), disgust (by 4.7%), and moral outrage (by 16.0%) in the corresponding\nreplies. These results indicate that users perceive spreading misinformation as\na violation of social norms and that those who spread misinformation should\nexpect negative reactions once their content is debunked. We derive important\nimplications for the design of community-based fact-checking systems.","PeriodicalId":501032,"journal":{"name":"arXiv - CS - Social and Information Networks","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Social and Information Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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=2,225,260 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.