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Antecedents and outcomes of cyberbullying among Chinese university students: verification of a behavioral pathway model.
Ye, Jian-Hong; Yang, Xiantong; Nong, Weiguaju; Wang, Mengqin; Lee, Yi-Sang.
Afiliação
  • Ye JH; Faculty of Education, Beijing Normal University, Beijing, China.
  • Yang X; National Institute of Vocational Education, Beijing Normal University, Beijing, China.
  • Nong W; Faculty of Psychology, Beijing Normal University, Beijing, China.
  • Wang M; School of Education, Guangxi University of Foreign Languages, Nanning, China.
  • Lee YS; Department of Lifelong Learning, Simon Fraser University, Vancouver, BC, Canada.
Front Public Health ; 12: 1359828, 2024.
Article em En | MEDLINE | ID: mdl-38628849
ABSTRACT

Introduction:

Cyberbullying is a commonly-seen and hotly-debated social topic around the globe. This negative behavior is the source of many disastrous events, and so leading government bodies, organizations, schools and social communities attach great importance to addressing this topic. However, there is still much work to do in order to be clear about the causes of cyberbullying.

Methods:

The previous research cases were mostly viewed from the victims' perspectives; however, there is no comprehensive understanding of the perpetrators' viewpoints. Therefore, based on Social Cognitive Theory (SCT) and analysis of discussion in the literature, the following six variables were chosen as the focus of this study overconfidence, excessive moral sense, cyberbullying, perceived value, happiness, and continued cyberbullying intention. This study established a research model of continued cyberbullying intention, which was verified by Structural Equation Modeling. In order to achieve the aims of the study, Chinese university students with an average age of 20.29 (SD = 1.43) were recruited as participants, from whom 1,048 valid questionnaires were collected.

Results:

The research results are as follows 1. Overconfidence and excessive moral sense positively predicted cyberbullying behaviors; 2. Overconfidence positively predicted excessive moral sense; 3. Cyberbullying positively predicted perceived value and sense of happiness; and 4. Perceived value and sense of happiness positively predicted continued cyberbullying intentions.

Conclusion:

Students' biased self-perception significantly predicts their cyberbullying behaviors and continued cyberbullying intention. What is more, it is interesting to learn that perpetrators will continue to exhibit cyberbullying behaviors when they believe that what they do (cyberbullying) is valuable or allows them to experience positive feelings; this requires our attention.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cyberbullying Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cyberbullying Idioma: En Ano de publicação: 2024 Tipo de documento: Article