IDEAS home Printed from https://ideas.repec.org/a/igg/jkm000/v18y2022i1p1-15.html
   My bibliography  Save this article

RETRACTED: Exploring the Dynamics of Justification in the Wake of a Rumor Outbreak on Social Media

Author

Listed:
  • Anjan Pal

    (Nanyang Technological University, Singapore)

  • Alton Y. K. Chua

    (Nanyang Technological University, Singapore)

  • Snehasish Banerjee

    (University of York, UK)

Abstract

This paper explores the dynamics of justification in the wake of a rumor outbreak on social media. Specifically, it examines the extent to which the five types of justification—descriptive argumentation, presumptive argumentation, evidentialism, truth skepticism, and epistemological skepticism—manifested in different voices including pro-rumor, anti-rumor, and doubts before and after fact-checking. Content analysis was employed on 1,911 tweets related to a rumor outbreak. Non-parametric cross-tabulation was used to uncover nuances in information sharing before and after fact-checking. Augmenting the literature which suggests the online community's susceptibility to hoaxes, the paper offers a silver lining: users are responsible enough to correct rumors during the later phase of a rumor lifecycle. This sense of public-spiritedness can be harnessed by knowledge management practitioners and public relations professionals for crowdsourced rumor refutation.

Suggested Citation

  • Anjan Pal & Alton Y. K. Chua & Snehasish Banerjee, 2022. "RETRACTED: Exploring the Dynamics of Justification in the Wake of a Rumor Outbreak on Social Media," International Journal of Knowledge Management (IJKM), IGI Global, vol. 18(1), pages 1-15, January.
    • Handle: RePEc:igg:jkm000:v:18:y:2022:i:1:p:1-15
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJKM.291100
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eui-Bang Lee & Heon Baek, 2024. "Prediction of Information Diffusion of New Products: Based on Product Launch and Media Difference," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6802-6831, June.

    More about this item

    Statistics

    Access and download statistics

    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:igg:jkm000:v:18:y:2022:i:1:p:1-15. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.