IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i3p21582440241257671.html
   My bibliography  Save this article

What Makes Fake News Appeal to You? Empirical Evidence from the Tweets Related to COVID-19 Vaccines

Author

Listed:
  • Minjung Park
  • Sangmi Chai

Abstract

Social media has become a popular means for users to accept and share the news. At the same time, however, it has also enabled the wide spread of fake news. The negative impact of fake news on society has been rapidly increased. To mitigate this problem, this study aims to find out the effect of social media users’ types of perception of information toward the acceptance and intention of spreading fake news. We conducted an online experiment with 743 of social media users and showed the following results. First, users respond differently depending on the type of message provider even if the same fake news. Second, users who relied more on experiential information processing system were more likely to accept fake news regardless of their perceived social conformity.

Suggested Citation

  • Minjung Park & Sangmi Chai, 2024. "What Makes Fake News Appeal to You? Empirical Evidence from the Tweets Related to COVID-19 Vaccines," SAGE Open, , vol. 14(3), pages 21582440241, July.
  • Handle: RePEc:sae:sagope:v:14:y:2024:i:3:p:21582440241257671
    DOI: 10.1177/21582440241257671
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241257671
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440241257671?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    2. Gupta, Ashish & Li, Han & Farnoush, Alireza & Jiang, Wenting, 2022. "Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news," Journal of Business Research, Elsevier, vol. 140(C), pages 670-683.
    3. Li Chen & Chuqing Dong & Yafei Zhang, 2022. "An Online Experiment Evaluating the Effects of Social Endorsement Cues, Message Source, and Responsibility Attribution on Young Adults’ COVID-19 Vaccination Intentions," SAGE Open, , vol. 12(2), pages 21582440221, April.
    4. R. Gordon Rinderknecht, 2019. "Effects of Participant Displeasure on the Social-Psychological Study of Power on Amazon’s Mechanical Turk," SAGE Open, , vol. 9(3), pages 21582440198, September.
    5. Ilicic, Jasmina & Webster, Cynthia M., 2013. "Celebrity co-branding partners as irrelevant brand information in advertisements," Journal of Business Research, Elsevier, vol. 66(7), pages 941-947.
    6. Chandler, Dana & Kapelner, Adam, 2013. "Breaking monotony with meaning: Motivation in crowdsourcing markets," Journal of Economic Behavior & Organization, Elsevier, vol. 90(C), pages 123-133.
    7. Stephanie Watts Sussman & Wendy Schneier Siegal, 2003. "Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption," Information Systems Research, INFORMS, vol. 14(1), pages 47-65, March.
    8. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," NBER Working Papers 23089, National Bureau of Economic Research, Inc.
    9. A.J. Kimmel & Anne-Françoise Audrain, 2010. "Analysis of commercial rumors from the perspective of marketing managers : rumor prevalence, effects, and control tactics," Post-Print hal-00826287, HAL.
    10. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    11. Kongsompong, Kritika & Green, Robert T. & Patterson, Paul G., 2009. "Collectivism and social influence in the buying decision: A four-country study of inter- and intra-national differences," Australasian marketing journal, Elsevier, vol. 17(3), pages 142-149.
    12. Xiang, Zheng & Gretzel, Ulrike, 2010. "Role of social media in online travel information search," Tourism Management, Elsevier, vol. 31(2), pages 179-188.
    13. Ammara Malik & Faiza Bashir & Khalid Mahmood, 2023. "Antecedents and Consequences of Misinformation Sharing Behavior among Adults on Social Media during COVID-19," SAGE Open, , vol. 13(1), pages 21582440221, January.
    14. Hunt Allcott & Matthew Gentzkow, 2017. "Social Media and Fake News in the 2016 Election," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 211-236, Spring.
    15. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    2. Bartosz Wilczek, 2020. "Misinformation and herd behavior in media markets: A cross-national investigation of how tabloids’ attention to misinformation drives broadsheets’ attention to misinformation in political and business," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    3. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    4. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    5. Yiangos Papanastasiou, 2020. "Fake News Propagation and Detection: A Sequential Model," Management Science, INFORMS, vol. 66(5), pages 1826-1846, May.
    6. Carola Binder, 2020. "Coronavirus Fears and Macroeconomic Expectations," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 721-730, October.
    7. Vincenz Frey & Arnout van de Rijt, 2021. "Social Influence Undermines the Wisdom of the Crowd in Sequential Decision Making," Management Science, INFORMS, vol. 67(7), pages 4273-4286, July.
    8. Sebastian Fest & Ola Kvaløy & Petra Nieken & Anja Schöttner, 2019. "Motivation and incentives in an online labor market," CESifo Working Paper Series 7526, CESifo.
    9. Kathrin Eismann, 2021. "Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter," Journal of Business Economics, Springer, vol. 91(9), pages 1299-1329, November.
    10. Mourelatos, Evangelos, 2021. "Personality and Ethics on Online Labor Markets: How mood influences ethical perceptions," EconStor Preprints 244735, ZBW - Leibniz Information Centre for Economics.
    11. Carola Binder & Alex Rodrigue, 2018. "Household Informedness and Long‐Run Inflation Expectations: Experimental Evidence," Southern Economic Journal, John Wiley & Sons, vol. 85(2), pages 580-598, October.
    12. Gallo, E. & Langtry, A., 2020. "Social Networks, Confirmation Bias and Shock Elections," Cambridge Working Papers in Economics 2099, Faculty of Economics, University of Cambridge.
    13. Vanessa C. Burbano, 2016. "Social Responsibility Messages and Worker Wage Requirements: Field Experimental Evidence from Online Labor Marketplaces," Organization Science, INFORMS, vol. 27(4), pages 1010-1028, August.
    14. Edoardo Gallo & Alastair Langtry, 2020. "Social networks, confirmation bias and shock elections," Papers 2011.00520, arXiv.org.
    15. Nana Adrian & Ann-Kathrin Crede & Jonas Gehrlein, 2019. "Market Interaction and the Focus on Consequences in Moral Decision Making," Diskussionsschriften dp1905, Universitaet Bern, Departement Volkswirtschaft.
    16. Florian Teschner & Henner Gimpel, 2018. "Crowd Labor Markets as Platform for Group Decision and Negotiation Research: A Comparison to Laboratory Experiments," Group Decision and Negotiation, Springer, vol. 27(2), pages 197-214, April.
    17. Sheen S. Levine & Michael J. Prietula & Ann Majchrzak, 2022. "Advice in Crisis: Principles of Organizational and Entrepreneurial Resilience," Journal of Organization Design, Springer;Organizational Design Community, vol. 11(4), pages 145-168, December.
    18. Leopoldo Fergusson & Carlos Molina, 2020. "Facebook Causes Protests," HiCN Working Papers 323, Households in Conflict Network.
    19. Dean Neu & Gregory D. Saxton & Abu S. Rahaman, 2022. "Social Accountability, Ethics, and the Occupy Wall Street Protests," Journal of Business Ethics, Springer, vol. 180(1), pages 17-31, September.
    20. Henrik Skaug Sætra, 2021. "AI in Context and the Sustainable Development Goals: Factoring in the Unsustainability of the Sociotechnical System," Sustainability, MDPI, vol. 13(4), pages 1-19, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:14:y:2024:i:3:p:21582440241257671. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.