Cyberbullying is a significant problem worldwide that affects adolescents' social relations, academic achievement, and mental health. As this form of bullying is typically viewed by a large audience it is important to understand the role of observers as they may hold a key for reducing bullying. The aim of this study was to investigate the role of the socio-cognitive factors of defending self-efficacy (i.e., belief in one's capability to defend) and moral disengagement (i.e., justifications for aggressive behavior) associated with general cyber defending behavior and cyber defending response types: constructive and aggressive. Participants were 540 male and female students of diverse racial identity between the ages of 11 and 15 years who completed a questionnaire comprising multiple measures. Regression analyses revealed that at low levels of defending self-efficacy, moral disengagement was unrelated to general cyber defending behavior. However, at high levels of defending self-efficacy, moral disengagement was positively associated with general cyber defending. Further regression analyses revealed that the results for constructive cyber defending were the inverse of those obtained for aggressive defending. Defending self-efficacy was positively associated with constructive defending and negatively associated with aggressive defending. Moral disengagement was negatively associated with constructive defending and positively associated with aggressive defending. These results address the perplexing issue of why moral disengagement has been related to defending in some studies and not in others. As with most measures of defending, the general cyber defending measure confounds constructive and aggressive defending.
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http://dx.doi.org/10.1016/j.jsp.2019.11.006 | DOI Listing |
Sci Rep
December 2024
National Cancer Control Institute, National Cancer Center, Goyang, 10408, Republic of Korea.
This study investigated the relationships among exposure to risky online content, moral disengagement, media literacy, and cyberaggression in adolescents (aged 13-15 years). Data were obtained from the 2021 Cyber Violence Survey (N = 3,002) conducted by a national agency in the Republic of Korea using systematic stratified sampling. The survey assessed eight aggressive online behaviors as indicators of cyberaggression: verbal violence, defamation, stalking, sending provocative content, personal information leakage, bullying, extortion, and coercion.
View Article and Find Full Text PDFAggress Behav
January 2025
Key Research Base of Humanities and Social Sciences of the Ministry of Education, Academy of Psychology and Behavior, Tianjin Normal University, Tianjin, China.
The general aggression model (GAM) suggests that cyber-aggression stems from individual characteristics and situational contexts. Previous studies have focused on limited factors using linear models, leading to oversimplified predictions. This study used the light gradient boosting machine (LightGBM) to identify and rank the importance of various risk and protective factors in cyber-aggression.
View Article and Find Full Text PDFJ Sch Psychol
December 2024
School of Social Work, Wayne State University, Detroit, USA; Department of Social Welfare, Ewha Womans University, Seoul, South Korea.
Numerous empirical studies have contributed to the understanding of factors connected to students' bystander behaviors in peer victimization situations. Nevertheless, a crucial gap remains concerning the scarcity of longitudinal studies. Drawing on social cognitive theory, the present study examined whether moral disengagement and defender self-efficacy predicted bystander behaviors a year later.
View Article and Find Full Text PDFChild Abuse Negl
January 2025
School of Educational Science, Gannan Normal University, Ganzhou, China. Electronic address:
Background: Pro-bullying bystander behaviors refer to actively taking the bullies' side when the bullying occurs, such as joining in the bullying or assisting the bullies by laughing or cheering. Previous studies have indicated that pro-bullying bystander behaviors might increase the incidence and intensity of bullying directly. Poor-quality parental attachment has been found to predict adolescents' pro-bullying bystander behaviors.
View Article and Find Full Text PDFFront Public Health
November 2024
School of Physical Education, Sichuan University, Chengdu, China.
Introduction: Aggressive behaviors in the online gaming world are frequent and have far-reaching negative effects.
Method: To explore the factors and mechanisms of aggressive in games, we surveyed 945 university students using a framework of social dominance orientation, online disinhibition, moral disengagement, and aggression in gaming, and examined the moderating role of gender traits.
Results: We found no direct relationship between online disinhibition and aggression in gaming; however, through the mediating role of moral disengagement, online disinhibition indirectly affected aggression in gaming behavior and enhanced social dominance orientation.
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