IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i2p21582440241255754.html
   My bibliography  Save this article

Self-Disclosure on Social Media: Do Personality Traits Matter?

Author

Listed:
  • Saleh Alwahaishi
  • Mohammad Saad Al-Ahmadi
  • Zulqurnain Ali
  • Ibrahim Al-Jabri

Abstract

The aim of this study is to integrate the privacy calculus theory with the Big Five Personality Traits Theory and to investigate the direct and moderating effects of the Big Five personality traits (openness, neuroticism, agreeableness, extraversion, and conscientiousness) on the relationship between the privacy calculus structural factors (Perceived Risk and Perceived Benefits) and disclosure of personal information on social network sites. A survey was conducted to collect data from 379 social network sites users. The sample is composed of 225 females and 154 males. The survey was designed in Qualtrics and distributed on WhatsApp using the snowball sampling technique. The measurements of the research model and the hypotheses related to the direct and moderating effects were tested using SmartPLS software. We found that perceived risk was a strong inhibitor, while perceived benefit was a strong facilitator for the disclosure of personal information. In contrast to our expectation, we found no indication that the Big Five personality traits moderate the disclosure of personal information. However, agreeableness had a positive direct effect on information disclosure. These results have implications for privacy policy makers in organizations in modifying policies and strategies for users based on their unique personality traits.

Suggested Citation

  • Saleh Alwahaishi & Mohammad Saad Al-Ahmadi & Zulqurnain Ali & Ibrahim Al-Jabri, 2024. "Self-Disclosure on Social Media: Do Personality Traits Matter?," SAGE Open, , vol. 14(2), pages 21582440241, May.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241255754
    DOI: 10.1177/21582440241255754
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241255754
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440241255754?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
    ---><---

    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:2:p:21582440241255754. 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: 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.