The Potential Roles of Social Ostracism and Loneliness in the Development of Dark Triad Traits in Adolescents: A Longitudinal Study

These findings imply that early social ostracism may lead to loneliness, which in turn fosters the development of traits like those in the Dark Triad, as individuals may adopt these traits as coping mechanisms in response to prolonged social stress and vulnerability.

Authors

Institutions

Publication Details

Journal
Journal of Personality
Published
2025-03-08
DOI
https://doi.org/10.1111/jopy.13018
Citations
7
Primary Topic
Death Anxiety and Social Exclusion
Type
article
Field-Weighted Citation Impact
17.07

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Potential Roles of Social Ostracism and Loneliness in the Development of Dark Triad Traits in Adolescents: A Longitudinal Study

Junwei Pu, Xiong Gan
7 citations
Journal of Personality
Death Anxiety and Social Exclusion
17.07
article

The Potential Roles of Social Ostracism and Loneliness in the Development of Dark Triad Traits in Adolescents: A Longitudinal Study

Junwei Pu, Xiong Gan
article en
7 citations

Abstract

These findings imply that early social ostracism may lead to loneliness, which in turn fosters the development of traits like those in the Dark Triad, as individuals may adopt these traits as coping mechanisms in response to prolonged social stress and vulnerability.

Journal of PersonalityVol. 94(1)
Yangtze University (CN)
Hubei Provincial Department of Education, Yangtze University
Reduced inequalities
Openalex Percentile: Top 1%
Death Anxiety and Social Exclusion
17.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.