{"title":"Credibility of misinformation source moderates the effectiveness of corrective messages on social media.","authors":"Huai-Kuan Zeng, Shih-Yu Lo, Shu-Chu Sarrina Li","doi":"10.1177/09636625231215979","DOIUrl":null,"url":null,"abstract":"<p><p>To examine how different features of corrective messages moderate individuals' attitudes toward misinformation on social media, a 2 (misinformation source credibility: high vs low) × 2 (corrective message source: algorithmic vs peer correction) × 2 (correction type: factual elaboration vs simple rebuttal) between-subjects experiment was conducted. To reduce perceived credibility and respondents' attitudes toward the misinformation, peer corrections were more effective than algorithmic corrections for misinformation from a source with lower credibility; for misinformation from a highly credible source, the superiority effect of peer corrections was still significant on perceived credibility but not on respondents' attitudes toward the misinformation. For the fact-checking tendency, we did not find a robust effect about how different features of corrective messages interacted. Our findings provide important insights into message design in combatting misinformation on social media.</p>","PeriodicalId":48094,"journal":{"name":"Public Understanding of Science","volume":" ","pages":"587-603"},"PeriodicalIF":3.5000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Understanding of Science","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/09636625231215979","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/12/31 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
To examine how different features of corrective messages moderate individuals' attitudes toward misinformation on social media, a 2 (misinformation source credibility: high vs low) × 2 (corrective message source: algorithmic vs peer correction) × 2 (correction type: factual elaboration vs simple rebuttal) between-subjects experiment was conducted. To reduce perceived credibility and respondents' attitudes toward the misinformation, peer corrections were more effective than algorithmic corrections for misinformation from a source with lower credibility; for misinformation from a highly credible source, the superiority effect of peer corrections was still significant on perceived credibility but not on respondents' attitudes toward the misinformation. For the fact-checking tendency, we did not find a robust effect about how different features of corrective messages interacted. Our findings provide important insights into message design in combatting misinformation on social media.
为了研究纠正信息的不同特征如何调节个体对社交媒体上错误信息的态度,我们进行了一项 2(错误信息来源可信度:高 vs 低)×2(纠正信息来源:算法纠正 vs 同伴纠正)×2(纠正类型:事实阐述 vs 简单反驳)的主体间实验。在降低感知可信度和受访者对误导信息的态度方面,对于来自可信度较低来源的误导信息,同伴纠正比算法纠正更有效;对于来自可信度较高来源的误导信息,同伴纠正的优势效应在感知可信度方面仍然显著,但在受访者对误导信息的态度方面并不显著。对于事实核查倾向,我们并没有发现纠正信息的不同特征如何相互作用的强大效应。我们的研究结果为在社交媒体上消除错误信息的信息设计提供了重要启示。
期刊介绍:
Public Understanding of Science is a fully peer reviewed international journal covering all aspects of the inter-relationships between science (including technology and medicine) and the public. Public Understanding of Science is the only journal to cover all aspects of the inter-relationships between science (including technology and medicine) and the public. Topics Covered Include... ·surveys of public understanding and attitudes towards science and technology ·perceptions of science ·popular representations of science ·scientific and para-scientific belief systems ·science in schools