Cited by 129Impact of Technology on AdolescentsPersonality Traits and PsychologyPersonality Disorders and Psychopathology

Analyzing the links between problematic social media use, dark triad traits, and self-esteem

Open access
Kircaburun, Kagan, Demetrovics, Zsolt, Tosuntaş, Şule Betül·2019·International Journal of Mental Health and Addiction

Integrity signals

Registry

Crossref · 10.1007/s11469-018-9900-1

Cites

74 of 74 references verified0 citation errors · 0 not checkable

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Recomputing p-values needs the paper’s full text.

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Cites

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2 of the 76 references couldn’t be matched to a known paper.

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Authors
Kircaburun, K., Demetrovics, Z., & Tosuntaş, Ş. B.
Affiliations
  • Eötvös Loránd University (HU)
  • Bursa Uludağ Üni̇versi̇tesi̇ (TR)
Venue
International Journal of Mental Health and Addiction
Published
2018-04-11
Volume
17
Issue
6
Pages
1496-1507
ISSN
  • 1557-1874 (ISSN-L)
  • 1557-1882
OpenAlex
W2797078064
Cited by
129
References
76
Citations by year
2026: 7 · 2025: 19 · 2024: 17 · 2023: 16 · 2022: 19 · 2021: 15 · 2020: 17 · 2019: 10 · 2018: 9
FWCI
29.02
Type
journal article
Language
en
Open access
Licence
Locations
  • International Journal of Mental Health and Addiction (publishedVersion)
  • Bursa Uludag University - AVESIS (submittedVersion)
  • DSpace - Düzce (Duzce University) (submittedVersion, cc-by-nc-nd)
Funders
Hungarian National Research, Development and Innovation Office (K111938, KKP126835)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Personality Traits and Psychology
  • Social Sciences › Psychology › Clinical Psychology › Personality Disorders and Psychopathology
Keywords
social media addiction, Dark Triad, narcissism, Machiavellianism, psychopathy, self-esteem, university students, Social Media Disorder Scale, Dirty Dozen, indirect effects

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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