Analyzing the Links Between Problematic Social Media Use, Dark Triad Traits, and Self-esteem


KIRCABURUN K., Demetrovics Z., TOSUNTAŞ Ş. B.

INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION, cilt.17, sa.6, ss.1496-1507, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 17 Sayı: 6
  • Basım Tarihi: 2019
  • Doi Numarası: 10.1007/s11469-018-9900-1
  • Dergi Adı: INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.1496-1507
  • Anahtar Kelimeler: Problematic social media use, Dark Triad, Narcissism, Machiavellianism, Psychopathy, Self-esteem, University students, BIG 5, PERSONALITY-TRAITS, INTERNET ADDICTION, DIRTY DOZEN, NETWORKING, NARCISSISM, FACEBOOK, MACHIAVELLIANISM, AGGRESSION, VALIDATION
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

Social media use, which is regarded as a popular leisure activity around the world, brings about the risk of becoming problematic in its wake, and personality differences have been shown to relate with different levels of engagement in risky social media use. The purpose of this study was to examine the association of problematic social media use (PSMU) with Dark Triad (DT) traits (i.e., Machiavellianism, psychopathy, and narcissism) and self-esteem. A total of 827 university students [495 (60%) women and 332 (40%) men, M-age=20.36, SD=1.47] filled out a questionnaire that included the Social Media Disorder Scale, Dark Triad Dirty Dozen Scale, and Single Item Self-esteem Scale. The direct effects of DT traits and self-esteem on PSMU and the indirect effect of narcissism on PSMU through self-esteem were investigated by applying structural equation modeling. Results indicated that, when controlling for gender and age, Machiavellianism and narcissism had small significant direct effects on PSMU, while the partial indirect link of narcissism via self-esteem was negligible. The model was able to explain 18% of the variance. Results were discussed in the light of existing literature.