التفاصيل البيبلوغرافية
العنوان: |
Is high exposure to antisocial media content associated with increased participation in malicious online trolling? exploring the moderated mediation model of hostile attribution bias and empathy. |
المؤلفون: |
Qiu, Yuedong, Sun, Qi, Wu, Biyun, Li, Fang |
المصدر: |
BMC Psychology; 7/19/2024, Vol. 12 Issue 1, p1-12, 12p |
مصطلحات موضوعية: |
ONLINE trolling, MEDIA exposure, CHINESE-speaking students, COLLEGE students, RESEARCH personnel, EMPATHY |
مستخلص: |
Malicious online trolling is prevalent among Chinese college students and has recently garnered extensive attention from researchers due to the substantial harm it causes to the victims and the damage it inflicts on the online environment. Most previous studies have focused on examining how personal traits related to malicious online trolling. Further comprehensive research is needed to explore the mechanisms linking external environmental factors (antisocial media exposure) and malicious online trolling. A total of 1259 Chinese college students completed questionnaires regarding malicious online trolling, antisocial media exposure, hostile attribution bias, and empathy. The results indicated a positive association between antisocial media exposure and malicious online trolling among Chinese college students, with hostile attribution bias serving as a mediating factor. Furthermore, the direct and mediated paths between antisocial media exposure and malicious online trolling were moderated by empathy. Specifically, as the level of empathy increased among college students, the relations between the variables all weakened. Excessive exposure to antisocial media content among college students may trigger hostile attribution bias and lead to more malicious online trolling behavior. However, the relation between antisocial media exposure and malicious online trolling, hostile attribution bias and malicious online trolling, was attenuated when college students' empathy levels were high. [ABSTRACT FROM AUTHOR] |
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قاعدة البيانات: |
Complementary Index |