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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Social Anxiety and Personality Traits as Predictors of Social Media Addiction among staff and students in University of Jos and Plateau State University

Authors: Ajegena, Owlama Rachel; Oyeleke, Johnson Tunde;

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

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. 

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Keywords

Personality Traits, Social Media Addiction, Social Anxiety

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green