Cyberbullying on social network sites. An experimental study into bystanders’ behavioural intentions to help the victim or reinforce the bully

Bastiaensens, Sara; Vandebosch, Heidi; Poels, Karolien; Cleemput, Katrien Van; DeSmet, Ann; Bourdeaudhuij, Ilse De

doi:10.1016/j.chb.2013.10.036

Cited by 282 publications

(246 citation statements)

References 39 publications

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“…The observer's role differs greatly depending on the severity of the incident, as indicated by Bastiaensens et al (2014). These authors found that participants who were exposed to the more severe harassing incident, had significantly higher behavioral intentions to help the victim.…”

Section: Discussionmentioning

confidence: 77%

“…On the other hand, when the cyberbullying incident was considered less severe, observers could perceive a smaller opportunity to gain social rewards. Additionally, the presence of other bystanders could cause a perceived risk for negative social evaluation when helping (Bastiaensens et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

“…This help may be directly given to the victim or the aggressor, but may also be indirect by contacting other people to help (parents, teachers, psychologists, institution, etc.). Since differences have been found in relation to gender in the behavioral intentions to help victims (Bastiaensens et al, 2014), interventions for observers should attend to gender.…”

Section: Implications and Conclusionmentioning

confidence: 99%

“…Considering observers have a great importance in preventing cyberbullying, such as in bullying (Bastiaensens et al, 2014), students should be taught about the psychological and physical signs of being victims or aggressors. Once this has been implemented, students may be able to detect these events, and help in their resolution, being this considered an intervention focused on the problem (Souza, 2011;Souza, Veiga Simão, & Caetano, 2014).…”

Section: Implications and Conclusionmentioning

confidence: 99%

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Cyberbullying: The hidden side of college students

Francisco

Simão

Ferreira

et al. 2015

Computers in Human Behavior

117

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a b s t r a c tThe purpose of this study was to investigate how university students perceive their involvement in the cyberbullying phenomenon, and its impact on their well-being. Thus, this study presents a preliminary approach of how college students' perceived involvement in acts of cyberbullying can be measured. Firstly, Exploratory Factor Analysis (N = 349) revealed a unidimensional structure of the four scales included in the Cyberbullying Inventory for College Students. Then, Item Response Theory (N = 170) was used to analyze the unidimensionality of each scale and the interactions between participants and items. Results revealed good item reliability and Cronbach's a for each scale. Results also showed the potential of the instrument and how college students underrated their involvement in acts of cyberbullying. Additionally, aggression types, coping strategies and sources of help to deal with cyberbullying were identified and discussed. Lastly, age, gender and course-related issues were considered in the analysis. Implications for researchers and practitioners are discussed.

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Section: Discussionmentioning

confidence: 77%

Section: Discussionmentioning

confidence: 99%

Section: Implications and Conclusionmentioning

confidence: 99%

Section: Implications and Conclusionmentioning

confidence: 99%

See 2 more Smart Citations

Cyberbullying: The hidden side of college students

Francisco

Simão

Ferreira

et al. 2015

Computers in Human Behavior

117

View full text Add to dashboard Cite

show abstract

“…It has also been used to determine the users' personality [26,18], to detect the most influential users [35], or to understand how information flows [36]. Social network analysis has also been applied to social contexts such as terrorism [34] and cyberbullying [3].…”

Section: Introductionmentioning

confidence: 99%

Analyzing users’ activity in online social networks over time through a multi-agent framework

2016

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Abstract. The number of people and organizations using on-line social networks as a new way of communication is continually increasing. Messages that users write in networks and their interactions with other users leave a digital trace that is recorded. In order to understand what is going on in these virtual environments, it is necessary systems that collect, process, and analyze the information generated. The majority of existing tools analyze information related to an on-line event once it has finished or in a specific point of time (i.e., without considering an in-depth analysis of the evolution of users' activity during the event). They focus on an analysis based on statistics about the quantity of information generated in an event. In this article, we present a multi-agent system (MAS) that automates the process of gathering data from users' activity in social networks and performs an in-depth analysis of the evolution of social behavior at different levels of granularity in on-line events based on network theory metrics. We evaluated its functionality analyzing users' activity in events on Twitter.

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Bullying in School and Online Contexts

Juvonen¹,

Schacter²

2017

The Wiley Handbook of Group Processes in Children and Adolescents

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This chapter examines the contextual conditions that give rise to bullying, the motives underlying bullying behaviors, the plight of victims, and the role of bystanders. First, it emphasizes the critical role of considering environmental features when understanding the motivation behind bullying. Second, the chapter accounts for bystander compliance and explains how the lack of public objection to bullying helps shape misperceptions of social norms that maintain it. Bullying does not just involve an exchange between perpetrator and victim; rather, a defining feature of bullying is that it occurs in front of an audience. In light of the strong associations between victimization, attributions of self-blame, and subsequent distress, it is critical to acknowledge how various environmental conditions of a victim's experience may give rise to different interpretations of why they were targeted. Diversity of the student body is another important feature of school environments that might help curb bullying behavior.

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Cyberbullying on social network sites. An experimental study into bystanders’ behavioural intentions to help the victim or reinforce the bully

Abstract: Cyberbullying on social network sites : an experimental study into bystanders' behavioral intentions to help the victim or reinforce the bully

Cited by 282 publications

References 39 publications

Cyberbullying: The hidden side of college students

Cyberbullying: The hidden side of college students

Analyzing users’ activity in online social networks over time through a multi-agent framework

Bullying in School and Online Contexts

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