Partisan Fact-Checkers' Warnings Can Effectively Correct Individuals' Misbeliefs About Political Misinformation
Year: 2025
Type: conference-paper
Abstract: Political misinformation, particularly harmful when it aligns with individuals' preexisting beliefs and political ideologies, has become widespread on social media platforms. In response, platforms like Facebook and X introduced warning messages leveraging fact-checking results from third-party fact-checkers to alert users against false content. However, concerns persist about the effectiveness of these fact-checks, especially when fact-checkers are perceived as politically biased. To address these concerns, this study presents findings from an online human-subject experiment (N=216) investigating how the political stances of fact-checkers influence their effectiveness in correcting misbeliefs about political misinformation. Our findings demonstrate that partisan fact-checkers can decrease the perceived accuracy of political misinformation and correct misbeliefs without triggering backfire effects. This correction is even more pronounced when the misinformation aligns with individuals' political ideologies. Notably, while previous research suggests that fact-checking warnings are less effective for conservatives than liberals, our results suggest that explicitly labeled partisan fact-checkers, positioned as political counterparts to conservatives, are particularly effective in reducing conservatives' misbeliefs toward pro-liberal misinformation.
Authors: Sian Lee, Haeseung Seo, Aiping Xiong, Dongwon Lee
Institutions: University of Mississippi, Pennsylvania State University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: diamond
Funder: National Science Foundation
Awards: Developing and Evaluating Fraud Informatics Curriculum among Institutions in the Appalachian Region, EAGER: SaTC: Early-Stage Interdisciplinary Collaboration: Modeling Memory Illusion for Predicting Trust in Online Information, RAPID: Informed and Ecological Decision Making of COVID-19 Vaccination
OpenAlex ID: W4411120826
