Full length article
How students react to different cyberbullying events: Past experience, judgment, perceived seriousness, helping behavior and the effect of online disinhibition

https://doi.org/10.1016/j.chb.2020.106338Get rights and content

Highlights

  • Boys are more likely to bully others on the Internet than girls.

  • Junior high school students are more willing to help victims than university students in denigration and exclusion events.

  • Perception of seriousness and toxic disinhibition are common predictors for cyberbullying.

  • Even under the real-name system, the disinhibition effect still works.

Abstract

This study designed three scenarios related to cyberbullying (CB) to examine the relationship between self-reported CB experience, overall judgment of CB, perception of CB seriousness, helping behavior, and two types of online disinhibition (benign and toxic). A total of 415 Chinese students in three different educational stages (junior high school, senior high school and university) completed a questionnaire. The results showed that compared to girls, boys were more likely to bully others on the Internet, and they perceived the toxic disinhibition effect more strongly. In contrast, girls more easily recognized the behaviors that occurred in harassment and denigration scenarios as bullying instances, and they tended to have strong judgments of these behaviors. Although no gender difference was observed in helping behavior, junior high school students had higher intentions to protect victims than university students in denigration and exclusion scenarios. Correlation analysis revealed that almost all variables were closely connected with each other, and the regression models of our research variables effectively predicted three forms of CB. Perception of seriousness and toxic disinhibition were common predictors in these scenarios. Based on the results, suggestions for reducing bullying incidents and future research directions are provided.

Section snippets

Funding

This study was sponsored by Fundamental Research Funds for the Central Universities, China (Grant number 2018ECNU-HLYT019).

The status quo of cyberbullying in China and the demographic characteristics of bullies and victims

With the popularity of computers and networks in China, the risk behaviors generated by Internet use have begun to attract the attention of Chinese researchers. Researchers have increasingly explored the phenomenon of Chinese students' cyberbullying. In recent studies, Li, Luo, Lin, and Shadiev (2018) examined the relationship between Internet use activities and bullying experience with 2327 Chinese students (aged 9–22 years) and found that 13.9% of students were involved in at least one

Sample

This study adopted convenience sampling and conducted questionnaires in the form of network testing. Snowball sampling was used with friends, and students were recruited through online social groups. Recruitment links were provided under the recruitment instructions to facilitate interested parties to directly open the webpage to provide responses. The webpage explained the purpose of the study, the way it would be conducted, and the time for responding. The content clearly conveyed that the

The differences in gender and educational stages between cyberbullying experience, helping behavior, perceived seriousness, judgment and online disinhibition

Table 2 shows the average mean scores and SD for all research variables. As observed, the scores in the three types of cyberbullying experiences were quite low.

Boys were generally more likely than girls to bully others in the form of harassment (t = 4.12, p < .001), denigration (t = 4.40, p < .001) and exclusion (t = 2.50, p = .013) and were more deeply affected by toxic disinhibition (t = 5.35, p < .001). Girls were more likely to view the incidents described in the harassment (t = −3.29, p

Discussion

The average score of bullying in this study is low, suggesting that cyberbullying was not a prevalent phenomenon among our Chinese participants. Unlike traditional bullying, individuals cannot avoid cyberbullying attacks by avoiding contact with a bully online. The harm caused by cyberbullying to victims is more serious than the harm caused by traditional bullying in terms of depth and breadth. A systematic review and meta-analysis of cyber-victimization and educational outcomes for adolescents

Conclusion

This study examined the multiple relationships between individual characteristics, helping behavior, perception of cyberbullying seriousness, judgment, online disinhibition and cyberbullying experience. Specifically, we found that gender differences existed in perception of seriousness and cyberbullying experience across three scenarios. There were also gender differences in levels of toxic disinhibition. Students from different educational stages displayed dissimilar tendencies to protect

CRediT authorship contribution statement

Chiao Ling Huang: Conceptualization, Data curation, Funding acquisition, Formal analysis, Methodology, Validation, Software, Writing - original draft, Writing - review & editing. Sining Zhang: Conceptualization, Investigation, Data curation, Methodology, Writing - original draft. Shu Ching Yang: Methodology, Project administration, Resources, Supervision, Writing - review & editing.

References (46)

  • A.N.M. Leung et al.

    Cyberbullying in Hong Kong Chinese students: Life satisfaction, and the moderating role of friendship qualities on cyberbullying victimization and perpetration

    Personality and Individual Differences

    (2018)
  • D. Nikolaou

    Does cyberbullying impact youth suicidal behaviors?

    Journal of Health Economics

    (2017)
  • S. Resett et al.

    Traditional bullying and cyberbullying: Differences in emotional problems, and personality. Are cyberbullies more Machiavellians?

    Journal of Adolescence

    (2017)
  • H.L. Schacter et al.

    Who's to blame?: The effects of victim disclosure on bystander reactions to cyberbullying

    Computers in Human Behavior

    (2016)
  • J. Song et al.

    Factors influencing bystanders' behavioral reactions in cyberbullying situations

    Computers in Human Behavior

    (2018)
  • R. Udris

    Cyberbullying among high school students in Japan: Development and validation of the Online Disinhibition Scale

    Computers in Human Behavior

    (2014)
  • M. Wong-Lo et al.

    Digital metamorphosis: Examination of the bystander culture in cyberbullying

    Aggression and Violent Behavior

    (2014)
  • M.F. Wright et al.

    The associations between cyberbullying and callous-unemotional traits among adolescents: The moderating effect of online disinhibition

    Personality and Individual Differences

    (2019)
  • X. Yang et al.

    Cyberbullying perpetration among Chinese adolescents: The role of interparental conflict, moral disengagement, and moral identity

    Children and Youth Services Review

    (2018)
  • W.M. Al-Rahmi et al.

    A model of factors affecting cyber bullying behaviors among university students

    IEEE Access

    (2019)
  • C. Barlett et al.

    A meta-analysis of sex differences in cyber-bullying behavior: The Moderating Role of Age

    Aggressive Behavior

    (2014)
  • J. Barlinska et al.

    Cyberbullying among adolescent bystanders: Role of the communication medium, form of violence, and empathy

    Journal of Community & Applied Social Psychology

    (2013)
  • S. Brochado et al.

    A scoping review on studies of cyberbullying prevalence among adolescents

    Trauma, Violence, & Abuse

    (2017)
  • Cited by (24)

    • Sex, age and cyber-victimization: A meta-analysis.

      2023, Computers in Human Behavior
      Citation Excerpt :

      Therefore, and despite the small difference found on the basis of age, there is a great variety of results, being the North American culture the only one that contributes to explain the age differences in cyberbullying. On the other hand, and despite the fact that they have not been the subject of statistical analysis, there are a series of variables that have been considered by the authors of the studies included in this meta-analysis such as family, individual differences and Internet consumption that deserve reflection and future study (Baldry et al., 2019; Baumgartner et al., 2014; Huang et al., 2020; Jetelina et al., 2019; Quintana-Orts & Rey, 2018; Turliuc et al., 2020). The meta-analysis carried out has led to the conclusion that the effect sizes, although significant, are low for both sex and age.

    • Cyberbullying experience and bystander behavior in cyberbullying incidents: The serial mediating roles of perceived incident severity and empathy

      2023, Computers in Human Behavior
      Citation Excerpt :

      However, compared with other groups (i.e., victims only and non-involvers), individuals with cyberbullying perpetration experience, including perpetrator only and perpetrator-victims, have stronger intentions to perform negative behavior and weaker intentions to perform positive behavior in cyberbullying. The result is consistent with previous studies revealing that the experience of cyberbullying negatively predicts positive bystander behavior (e.g., helping behavior) (Huang et al., 2020) and that the experience of bullying as a perpetrator-victim is incapable of empathy for the victim in traditional bullying (Perren et al., 2012). This may be because they score higher on moral disengagement.

    • Children and adolescents’ understanding of traditional and cyberbullying

      2022, Children and Youth Services Review
      Citation Excerpt :

      It is known that perceived seriousness of an incident influences bystander actions (Song & Oh, 2018) and that girls evaluate bullying incidents more seriously than boys (Huang et al., 2019). It has been hypothesized that this is because girls could be more empathic or that they recognize more incidents as bullying than boys (Huang et al., 2020). Younger children (aged 6–8 and 9–11) also consistently perceived both traditional and cyberbullying situations as significantly more serious than older adolescents (aged 12–14 and 15–18) across both traditional and cyberbullying scenarios.

    • Does mindfulness reduce trolling? The relationship between trait mindfulness and online trolling: The mediating role of anger rumination and the moderating role of online disinhibition

      2022, Journal of Affective Disorders
      Citation Excerpt :

      Although trait mindfulness may have direct and indirect effects on online trolling through anger rumination, not all individuals experience this effect equally. Online disinhibition is an important risk factor for various online antisocial behaviours, such as cyberaggression, cyberhate, and cyberbullying (Huang et al., 2020; Kurek et al., 2019; Wachs and Wright, 2019). Therefore, we further propose online disinhibition as a moderator that can affect the direct and indirect effects of trait mindfulness on online trolling.

    View all citing articles on Scopus
    View full text