Keyboard Gangsters: Analysis of Incidence and Correlates of Cyberbullying in a Large Urban Student Population

Pelfrey, William V.; Weber, Nicole

doi:10.1080/01639625.2012.707541

Cited by 49 publications

(41 citation statements)

References 27 publications

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“…Previous studies report inconsistent results regarding gender differences. This result is in line with authors who claim that girls are more likely to be victims of cyberbullying (Beckman et al, 2013;Connell et al, 2013;Garaigordobil & Aliri, 2013;Lee & Shin, 2017;Stewart et al, 2014), but it does not match those indicating that there are more male victims (Gá-mez-Guadix et al, 2014;Huang & Chou, 2010;Pelfrey & Weber, 2013;Popovic-Citic et al, 2011;Yang et al, 2014). This may be due to the fact that more women use the Internet for communication than men (Fundación Telefónica, 2016) or because girls tend to be more involved in cases of indirect bullying .…”

Section: Discussionsupporting

confidence: 77%

“…Unlike studies that have not found a connection between age and cybervictimization (Calmaestra, 2011;Pelfrey & Weber, 2013;Stewart et al, 2014), our data shows a significant and positive relationship between the two variables. This data must be viewed with caution because the relationship is very weak.…”

Section: Discussioncontrasting

confidence: 52%

“…For cyberbullying, in the various studies undertaken, the data obtained differs substantially in relation to gender (Connell, Schell-Busey, Pearce, & Negro, 2013). Thus, in some studies, women suffer more harassment than men (Beckman et al, 2013;Connell et al, 2013;Garaigordobil & Aliri, 2013;Lee & Shin, 2017;Stewart, Drescher, Maack, Ebesutani, & Young, 2014), while in others, the opposite is the case, with men being the most victimised (Gámez-Guadix, Villa-George, & Calvete, 2014;Huang & Chou, 2010;Pelfrey & Weber, 2013;Popovic-Citic, Djuric, & Cvetkovic, 2011;Yang, Lin, & Chen, 2014). There are other examples where no differences between the sexes have been found (Coelho, Sousa, Marchante, Bras, & Romao, 2016;Fletcher et al, 2014;Palermiti, Servidio, Bartolo, & Costabile, 2017).…”

Section: Gender Differencesmentioning

confidence: 86%

“…In spite of this, there is also no consistency in the differences that the different authors have found. We find some papers where no significant statistical differences are reported (Garaigordobil, 2015;Pelfrey & Weber, 2013;Stewart et al, 2014;Waasdorp & Bradshaw, 2015). There are also studies where those involved, as cybervictims, were the oldest of the sample (Jung et al, 2014;Walrave & Heirman, 2011).…”

Section: Differences In Age or Academic Yearmentioning

confidence: 99%

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Victims of cyberbullying in the Region of Murcia: a growing reality

Calatayud

2018

J. New Approaches Educ. Res.

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The fact that technologies have become a normal part of our lives has meant that bullying and other problems have shifted towards the virtual, hence complicating possible solutions. While before peer harassment occurred mainly at school, today Information and Communications Technology (ICT) means that children now have no place to "hide" from this problem. This and other features, like anonymity, have led many people to believe that this problem is more serious than traditional bullying. The purpose of this research was to determine the incidence of this phenomenon and its impact on students in compulsory secondary education in the Region of Murcia, specifically the prevalence of victimization and differences in relation to gender, age and academic year. One of the main results is that 49.3% of students have suffered from one or more cyberbullying behaviours. Greater victimization of females was observed in fourth of ESO and at higher ages (age ranges: 11-13; 14-15; 16-18). These results show the reality of secondary schools and the need to establish effective measures to solve this problem.

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Section: Discussionsupporting

confidence: 77%

Section: Discussioncontrasting

confidence: 52%

Section: Gender Differencesmentioning

confidence: 86%

Section: Differences In Age or Academic Yearmentioning

confidence: 99%

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Victims of cyberbullying in the Region of Murcia: a growing reality

Calatayud

2018

J. New Approaches Educ. Res.

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“…Part of the challenge with creating a unified definition of a true threat on social media is embedded in who uses social media, how it is used and in what context. High levels of social media connectivity have raised concerns that cyberbullying can lead to offline violence (David-Ferdon & Hertz, 2007;Pelfrey &Weber, 2013). Data from the Pew Research Center suggests 24% of teens go online "almost constantly," and 92% of teens report going online daily.…”

Section: Introductionmentioning

confidence: 99%

What’s a Threat on Social Media? How Black and Latino Chicago Young Men Define and Navigate Threats Online

et al. 2017

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Youth living in violent urban neighborhoods increasingly post messages online from urban street corners. The decline of the digital divide and the proliferation of social media platforms connect youth to peer communities who may share experiences with neighborhood stress and trauma. Social media can also be used for targeted retribution when threats and insults are directed at individuals or groups. Recent research suggests that gang-involved youth may use social media to brag, post fight videos, insult, and threaten—a phenomenon termed Internet banging. In this article, we leverage “code of the digital street” to understand how and in what ways social media facilitates urban-based youth violence. We utilize qualitative interviews from 33 Black and Latino young men who frequent violence prevention programs and live in violent neighborhoods in Chicago. Emerging themes describe how and why online threats are conceptualized on social media. Implications for violence prevention and criminal investigations are discussed.

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A meta‐analysis of sex differences in cyber‐bullying behavior: The moderating role of age

Barlett

Coyne

2014

Aggressive Behavior

299

158

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The current research used meta-analysis to determine whether (a) sex differences emerged in cyber-bullying frequency, (b) if age moderated any sex effect, and (c) if any additional moderators (e.g., publication year and status, country and continent of data collection) influenced the sex effect. Theoretically, if cyber-bullying is considered a form of traditional bullying and aggression, males are likely to cyber-bully more than females. Conversely, if cyber-bullying is considered relational/indirect aggression, females will be slightly more likely to cyber-bully than males. Results from 122 effect size estimates showed that males were slightly more likely to cyber-bully than females; however, age moderated the overall effect. Specifically, females were more likely to report cyber-bullying during early to mid-adolescence than males, while males showed higher levels of cyber-bullying during later adolescence than females. Publication status and year and continent and country of data collection also moderated the overall effect.

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Keyboard Gangsters: Analysis of Incidence and Correlates of Cyberbullying in a Large Urban Student Population

Cited by 49 publications

References 27 publications

Victims of cyberbullying in the Region of Murcia: a growing reality

Victims of cyberbullying in the Region of Murcia: a growing reality

What’s a Threat on Social Media? How Black and Latino Chicago Young Men Define and Navigate Threats Online

A meta‐analysis of sex differences in cyber‐bullying behavior: The moderating role of age

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