Please browse responsibly: A correlational examination of technology access and time spent online in the Barlett Gentile Cyberbullying Model

Barlett, Christopher P.; Madison, Cory S.; Heath, J. Bailey; DeWitt, Caroline C.

doi:10.1016/j.chb.2018.11.013

Cited by 21 publications

(9 citation statements)

References 28 publications

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“…Inconsistent with our hypothesis, the results showed that proficiency in technology use did not positively operate through attitude toward cyberbullying in associating with cyberbullying perpetration. This is not consistent with the findings of a previous study either, which identified a negative association between technology access and cyberbullying attitudes (Barlett et al, 2019). The results revealed the complexity of the mechanisms underlying cyberbullying behavior.…”

Section: Np21659contrasting

confidence: 99%

Cyberbullying Perpetration Among Chinese Adolescents: The Role of Power Imbalance, Fun-seeking Tendency, and Attitude Toward Cyberbullying

Wang

Ngai

2021

J Interpers Violence

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The imbalance of power affords individuals to bully others. However, limited studies have explored the specific aspects of power imbalance in predicting cyberbullying. Furthermore, a fun-seeking tendency as a motive for cyberbullying and attitudes toward cyberbullying as cognitive stimuli have rarely been studied in relation to mediating the associations between power imbalance and cyberbullying in an integrated framework. This study aims to narrow these research gaps. Multistage cluster random sampling was employed to recruit a total of 1103 adolescents (52.5% females) ranging in age from 12 to 18 years. Structural equation modeling analyses revealed that proficiency in technology use is not only directly and positively associated with cyberbullying but also indirectly associated with cyberbullying via fun-seeking tendency. Although social status among peers had no direct effect on cyberbullying, the indirect effects of social status among peers on cyberbullying via the fun-seeking tendency and attitude toward cyberbullying were significant. Notably, physical power was neither directly associated with cyberbullying nor through the fun-seeking tendency or attitude toward cyberbullying in associating with cyberbullying. Implications of these findings for developing effective interventions are discussed.

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Section: Np21659contrasting

confidence: 99%

Cyberbullying Perpetration Among Chinese Adolescents: The Role of Power Imbalance, Fun-seeking Tendency, and Attitude Toward Cyberbullying

Wang

Ngai

2021

J Interpers Violence

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“…These, and other, variables could also affect BGCM processing. For example, Barlett et al ( 2019 ) found that technology access and time spent online significantly correlated with cyberbullying attitudes and perpetration, which may suggest that various technology-related variables moderate existing BGCM relationships (such moderation tests were not conducted in the study).…”

Section: Cyberbullying Theory and Interventionsmentioning

confidence: 91%

“…Finally, empirical evidence suggests that the BGCM is robust. Indeed, the tenets of the BGCM have been shown in (a) youth (Barlett, 2015 ) and adults alike (Barlett and Gentile, 2012 ), (b) using correlational (Barlett et al, 2019 ) and longitudinal studies (Barlett and Kowalewski, 2019 ), and in several countries across the world (e.g., USA, Brazil, Australia, China, Singapore, Japan, and Germany; Barlett et al, 2021 ). Overall, the amount of replicated findings across multiple studies on various samples with different empirical designs suggests a valid theoretical model.…”

Section: Theoretically Predicting Cyberbullyingmentioning

confidence: 99%

Theoretically Predicting Cyberbullying Perpetration in Youth With the BGCM: Unique Challenges and Promising Research Opportunities

et al. 2021

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The psychological variables and processes germane to cyberbullying need additional empirical attention—especially for adolescent samples. Myriad studies and meta-analytic reviews have confirmed the deleterious psychological and behavioral consequences of being cyber-victimized. We argue that one method to curtail such effects is to inform interventions aimed at reducing cyberbullying perpetration regarding the why and for whom cyberbullying is likely. This review expands on these issues and emphasizes the Barlett Gentile Cyberbullying Model (BGCM) as the only validated cyberbullying-specific theory to predict cyberbullying perpetration. Our principal thesis is that the wealth of research validating the BGCM has been with adult samples and applying the BGCM to adolescents presents both challenging and exciting research opportunities for future research and intervention development in youth.

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“…Cyberbullying relies on a certain level of mastery of technology and Internet use rather than physical power; thus, cyberbullying perpetrators do not necessarily need to be physically stronger than their cyber victims (Barkoukis et al, 2016). That is, online bullying could not take place without perpetrators who possess the means, knowledge, and proficiency to use technology and social media (Barlett et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

Understanding the effects of personal factors and situational factors for adolescent cyberbullying perpetration: The roles of internal states and parental mediation

Wang

Ngai

2021

Journal of Adolescence

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Introduction The risk and protective factors of cyberbullying perpetration have been widely investigated. Less attention is paid to explore the effects of personal and situational factors, internal states, and external states in an integrated framework. This study aims to fill this void by developing an integrated framework to investigate the effects of power imbalance, the online disinhibition effect, internal states, and parental mediation on cyberbullying among Chinese adolescents. Methods Multistage cluster random sampling was employed with 1103 adolescents (Mage = 15.3, 52.5% girls) who responded to the questionnaire. Structural equation modeling (SEM) was conducted. Results Proficiency in technology use was directly related to cyberbullying. Social status among peers was found to be not only directly related to cyberbullying but also to operate through low self‐control to predict cyberbullying. The online disinhibition effect did not directly correlate to cyberbullying but operated through moral disengagement and low self‐control to predict cyberbullying. Notably, the results showed that physical power was neither directly correlated to cyberbullying nor aligned with moral disengagement or low self‐control to predict cyberbullying. The multiple‐group comparison analysis revealed that parental mediation moderated the effects of the online disinhibition effect on cyberbullying. However, this study found that parental mediation had no buffering effects when examining the relationships between physical power, social status, technology use, and cyberbullying. Conclusions Findings suggest that cyberbullying prevention should consider the effects of both internal states and external factors. The study has provided theoretical and practical implications for understanding and tackling the widespread problem of cyberbullying among adolescents.

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Please browse responsibly: A correlational examination of technology access and time spent online in the Barlett Gentile Cyberbullying Model

Cited by 21 publications

References 28 publications

Cyberbullying Perpetration Among Chinese Adolescents: The Role of Power Imbalance, Fun-seeking Tendency, and Attitude Toward Cyberbullying

Cyberbullying Perpetration Among Chinese Adolescents: The Role of Power Imbalance, Fun-seeking Tendency, and Attitude Toward Cyberbullying

Theoretically Predicting Cyberbullying Perpetration in Youth With the BGCM: Unique Challenges and Promising Research Opportunities

Understanding the effects of personal factors and situational factors for adolescent cyberbullying perpetration: The roles of internal states and parental mediation

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