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Identifying possible influence factors for depression through social media
Ruijuan Wang1, Ziqing Ji2, Yining Chen3
1School of Public Health, Wuhan University, Hubei, Wuhan, China.
Journal of Affective Disorders
|May 15, 2025
Summary
Social media data reveals personality traits like high neuroticism increase depression risk, while extraversion and agreeableness are protective. Social support from relationships is crucial for preventing depression.
Area of Science:
- Psychology
- Computational Social Science
- Mental Health Research
Background:
- Social media platforms offer real-time data on emotional expression.
- Understanding depression's influence factors is vital for psychological research and interventions.
Purpose of the Study:
- To explore potential influence factors for depression using internet-based data.
- To provide references for psychological research and future depression intervention strategies.
Main Methods:
- Crawling and manual annotation of Weibo posts from 'Zoufan'.
- Utilizing a BERT model for classifying depression levels, personality traits, and external factors.
- Applying single factor, logistic regression, and random forest analyses to identify significant factors.
Main Results:
- High extraversion and agreeableness act as protective factors against depression (p < 0.01).
- High neuroticism is a significant risk factor for depression (p < 0.01).
- Family issues, romantic relationships, and interpersonal challenges are linked to increased depression risk, highlighting the role of social support.
Conclusions:
- Personality traits (extraversion, agreeableness, neuroticism) significantly impact depression likelihood.
- A supportive social environment is crucial for depression prevention.
- Social media big data offers novel insights for mental health research beyond traditional methods.
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