IDEAS home Printed from https://ideas.repec.org/a/ris/lcjsss/0051.html
   My bibliography  Save this article

Social Anxiety and Personality Traits as Predictors of Social Media Addiction among staff and students in University of Jos and Plateau State University

Author

Listed:

Abstract

Social media addiction is increasingly recognized for its psychological and socio-economic impacts, such as impaired social relationships, academic underperformance, anxiety, and depression. While research on this phenomenon is emerging in Nigeria, there remains a gap in understanding the predictive role of social anxiety, personality traits, and self-esteem, especially among workers and students in higher institutions. This study examines how social anxiety, personality traits and demographics (age and gender) predict social media addiction. This study addresses this gap by employing a cross-sectional quantitative survey with 397 participants in Plateau State. The study made use of the social cognitive theory to explain this phenomenon. Three Hypotheses were tested. Social anxiety did not significantly predict social media addiction (β = .120, R² = .014, p > .05), suggesting it has no influence in this context. Personality traits, however, were significant predictors (R = .18, R² = .032, p .05; gender: t (397) = 1.017, p > .05).This study recommends tailored interventions, additional research, and application of findings in practice to better address social media addiction among Nigerian workers and students.

Suggested Citation

  • AJEGENA, Owlama Rachel & OYELEKE, Johnson Tunde, 2025. "Social Anxiety and Personality Traits as Predictors of Social Media Addiction among staff and students in University of Jos and Plateau State University," Lead City Journal of the Social Sciences (LCJSS), Lead City University, vol. 10(1), pages 5-13, May.
  • Handle: RePEc:ris:lcjsss:0051
    as

    Download full text from publisher

    File URL: https://www.lcu.edu.ng/index.php/lead-city-journal-of-the-social-sciences
    File Function: Full text
    Download Restriction: no
    ---><---

    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:ris:lcjsss:0051. 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: Daniel Akanbi (email available below). General contact details of provider: https://www.lcu.edu.ng/ .

    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.