2023
DOI: 10.3389/fpsyg.2022.1090047
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Onset risk factors for youth involvement in cyberbullying and cybervictimization: A longitudinal study

Abstract: IntroductionCyberbullying and cybervictimization are spread worldwide, and due to COVID-19, an increasing number of children and adolescents have been impacted. Since the beginning of the twenty-first century, research has investigated and highlighted the key risk factors for cyberbullying and cybervictimization, and numerous anti-cyberbullying prevention and intervention programs have been developed and assessed for their efficacy. Despite this, no studies have specifically focused on the individual, relation… Show more

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Cited by 10 publications
(6 citation statements)
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“…In line with this result, several empirical studies have shown that the strongest predictors of cyberbullying were involvement in both school bullying and victimization [63][64][65][66]. In other words, school victims can exhibit the same negative behavioral pattern in cyberspace, resulting in involvement in cyberbullying [67].…”
Section: Discussionmentioning
confidence: 55%
“…In line with this result, several empirical studies have shown that the strongest predictors of cyberbullying were involvement in both school bullying and victimization [63][64][65][66]. In other words, school victims can exhibit the same negative behavioral pattern in cyberspace, resulting in involvement in cyberbullying [67].…”
Section: Discussionmentioning
confidence: 55%
“…Considering the promising results concerning the long-term efficacy of some cyberbullying prevention and intervention programs, such as NoTrap [ 33 ] and PREDEMA [ 35 ], it could be useful to include specific modules on social–emotional learning (SEL) and peer training and mentoring activities within preventive programs for cyberbullying [ 50 ]. Since different patterns of individual, relational, and contextual risk factors are associated with the onset of involvement in cyberbullying and cybervictimization [ 51 ], different curricula should be implemented to prevent and manage perpetration and victimization.…”
Section: Discussionmentioning
confidence: 99%
“…Research has suggested that boys had a higher tendency of being cyberbullies than girls [ 35 , 38 , 41 , 42 , [64] , [65] , [66] , [67] , [68] , [69] , [70] ]. Moreover, in reviewing the literature on cyberbullying among 10–19-year-olds in 21 countries in the East Asian region, most studies showed that the rate of cyberbullying and cybervictimization for men is higher than for that for women (e.g., Park et al [ 6 ]; Chang et al [ 71 ]; Huang and Chou [ 72 ]; Jiaming et al [ 73 ]; Lee and Shin [ 74 ]; Wong et al [ 75 ]; Yang et al [ 76 ]; Zhou et al [ 77 ]), whereas women were more likely to discontinue cyberbullying [ 6 , 71 ].…”
Section: Theoretical Backgroundmentioning
confidence: 99%
“…A literature review revealed that sex and academic performance in the background variable, as well as social status and ICT use, correlate with and predict cyberbullying; sex predicts cyberbullying [ 35 ], with men being more likely to be cyberbullies than women [ [35] , [36] , [37] , [38] , [39] , [40] , [41] , [42] ]. Furthermore, female sex is a stronger predictor of cyberbullying victimization [ 43 ] and bystander behavior than male [ 42 ].…”
Section: Introductionmentioning
confidence: 99%