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Remedial behavior for misinformation: A moderated mediation model of remedial attitude and perceived consequence severity

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  • Dong, Qingxing
  • Xiong, Siyue
  • Zhang, Mengyi

Abstract

Given the accessibility and anonymity features of social media platforms, ordinary users have emerged as facilitators of misinformation dissemination. An effective countermeasure is to encourage these users share fact-checking, which not only curbs the further dissemination of false information but also rectifies the beliefs of those previously misinformed. Based on Social Cognitive Theory (SCT) and Social Exchange Theory (SET), this study constructed the influencing factors model of remedial behavior for misinformation. Ten research hypotheses were proposed and tested through the analysis by SmartPLS of 403 valid questionnaires collected from China in 2021. The results showed that for remedial attitude, it is self-efficacy, outcome expectation and perceived remedial effect of fact-checking that are positively correlated, while the perceived responsibility of misinformation and perceived risk are negatively correlated; remedial attitude are positively correlated with remedial behavior intention; fact-checking persuasion and reference group influence are both positively related to remedial attitude and remedial behavior intention, respectively. Additionally, this study verified the remedial attitude's mediating role as well as the perceived consequence severity's moderating role in remedial behavior. We also explored whether the mediating effect of remedial attitude on remedial behavior was moderated by perceived consequence severity. This work could enrich the achievements in the field of social media users' information sharing behavior, and offer actionable insights for addressing misinformation.

Suggested Citation

  • Dong, Qingxing & Xiong, Siyue & Zhang, Mengyi, 2024. "Remedial behavior for misinformation: A moderated mediation model of remedial attitude and perceived consequence severity," Technology in Society, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:teinso:v:77:y:2024:i:c:s0160791x24000927
    DOI: 10.1016/j.techsoc.2024.102544
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    1. Ringle, Christian M. & Sarstedt, Marko & Schlittgen, Rainer & Taylor, Charles R., 2013. "PLS path modeling and evolutionary segmentation," Journal of Business Research, Elsevier, vol. 66(9), pages 1318-1324.
    2. Pang, Hua & Liu, Jun & Lu, Jiahui, 2022. "Tackling fake news in socially mediated public spheres: A comparison of Weibo and WeChat," Technology in Society, Elsevier, vol. 70(C).
    3. Pang, Hua & Zhang, Kaige, 2024. "Determining influence of service quality on user identification, belongingness, and satisfaction on mobile social media: Insight from emotional attachment perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    4. Gurgun, Selin & Cemiloglu, Deniz & Close, Emily Arden & Phalp, Keith & Nakov, Preslav & Ali, Raian, 2024. "Why do we not stand up to misinformation? Factors influencing the likelihood of challenging misinformation on social media and the role of demographics," Technology in Society, Elsevier, vol. 76(C).
    5. Samuli Laato & A. K. M. Najmul Islam & Muhammad Nazrul Islam & Eoin Whelan, 2020. "What drives unverified information sharing and cyberchondria during the COVID-19 pandemic?," European Journal of Information Systems, Taylor & Francis Journals, vol. 29(3), pages 288-305, May.
    6. Bearden, William O & Netemeyer, Richard G & Teel, Jesse E, 1989. "Measurement of Consumer Susceptibility to Interpersonal Influence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(4), pages 473-481, March.
    7. Tifferet, Sigal, 2021. "Verifying online information: Development and validation of a self-report scale," Technology in Society, Elsevier, vol. 67(C).
    8. Huan Liu & Qiang Chen & Richard Evans, 2022. "How Official Social Media Affected the Infodemic among Adults during the First Wave of COVID-19 in China," IJERPH, MDPI, vol. 19(11), pages 1-18, May.
    9. Sheau-Fen Yap & Sanjaya Singh Gaur, 2016. "Integrating functional, social, and psychological determinants to explain online social networking usage," Behaviour and Information Technology, Taylor & Francis Journals, vol. 35(3), pages 166-183, March.
    10. Danielle Caled & Mário J. Silva, 2022. "Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation," Journal of Computational Social Science, Springer, vol. 5(1), pages 123-159, May.
    11. Jeng, Shih-Ping & Lo, Min-Fang, 2019. "Lowest price guarantees on airline websites: Perceived believability, perceived value, and purchase intentions," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 85-91.
    12. Sarstedt, Marko & Hair, Joseph F. & Ringle, Christian M. & Thiele, Kai O. & Gudergan, Siegfried P., 2016. "Estimation issues with PLS and CBSEM: Where the bias lies!," Journal of Business Research, Elsevier, vol. 69(10), pages 3998-4010.
    13. Jie Zhao & Jianfei Wang, 2020. "Health Advertising on Short-Video Social Media: A Study on User Attitudes Based on the Extended Technology Acceptance Model," IJERPH, MDPI, vol. 17(5), pages 1-21, February.
    14. Jiabei Xia & Tailai Wu & Liqin Zhou, 2021. "Sharing of Verified Information about COVID-19 on Social Network Sites: A Social Exchange Theory Perspective," IJERPH, MDPI, vol. 18(3), pages 1-12, January.
    15. Folkes, Valerie S, 1988. "Recent Attribution Research in Consumer Behavior: A Review and New Directions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(4), pages 548-565, March.
    16. Joseph F. Hair & G. Tomas M. Hult & Christian M. Ringle & Marko Sarstedt & Kai Oliver Thiele, 2017. "Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods," Journal of the Academy of Marketing Science, Springer, vol. 45(5), pages 616-632, September.
    17. Shin-Yuan Hung & Hui-Min Lai & Yu-Che Chou, 2015. "Knowledge-sharing intention in professional virtual communities: A comparison between posters and lurkers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(12), pages 2494-2510, December.
    18. Qiang Chen & Yangyi Zhang & Richard Evans & Chen Min, 2021. "Why Do Citizens Share COVID-19 Fact-Checks Posted by Chinese Government Social Media Accounts? The Elaboration Likelihood Model," IJERPH, MDPI, vol. 18(19), pages 1-17, September.
    19. Cheng, John W. & Mitomo, Hitoshi & Kamplean, Artima & Seo, Youngkyoung, 2021. "Lesser evil? Public opinion on regulating fake news in Japan, South Korea, and Thailand – A three-country comparison," Telecommunications Policy, Elsevier, vol. 45(9).
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