Utilizing criminological theories to predict involvement in cyberviolence among the iGeneration

Costello, Matthew; Reichelmann, Ashley V.; Hawdon, James

doi:10.1080/02732173.2022.2105767

Cited by 3 publications

(2 citation statements)

References 106 publications

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“…Wachs et al (2020) revealed that adolescents endorsing close friend support to handle cyberhate had lower probabilities to be both victim and perpetrator. In contrast, Costello et al (2022) revealed that closeness to online communities was positively related to cyberviolence perpetration. This is supported to a certain extent by Wachs and Wright (2018) who found a positive link between being a bystander (i.e., being close to peers who were involved in online cyberhate) and online perpetration.…”

Section: Figurementioning

confidence: 88%

Personal and social protective factors of cyberhate: A general strain theory approach

Audrin,

Blaya

2023

Int J Psychol

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Adolescents of today grow up in a connected world. While online communication offers great opportunities, it can also have negative impact on adolescents' life. In this work, we are interested in the use of online communication tools to share and create cyberhate content. Anchored in the general strain theory, we studied how social support (i.e., parental, peers and teacher support) may be related to cyberhate perpetration. We further tested how personal characteristics such as empathy, self‐esteem and anxiety could predict the propensity to be involved as cyberhate perpetrators. We collected self‐reported questionnaires of 1019 French young people (13.04 years; ranging from 9 to 17) and measured their perceived (a) parental, (b) peers and (c) teachers' support as well as their (d) empathy/benevolence, (e) self‐esteem and (f) anxiety. We also measured cyberhate perpetration and the association between perpetration, social support and personal characteristics. Our results highlight that parental and teacher support represent protective factors for cyberhate perpetration. Our results further suggest that self‐esteem is negatively linked to the propensity to cyberhate perpetration.

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Section: Figurementioning

confidence: 88%

Personal and social protective factors of cyberhate: A general strain theory approach

Audrin,

Blaya

2023

Int J Psychol

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“…Advances in digital technologies create various opportunities for crime (Holt et al, 2017). Criminalsusually with high technical skills-can commit cybertrespass (e.g., unauthorized system access, see MacLeod, 2021), cyberdeception and cybertheft (e.g., online fraud, identity theft, see van de Weijer et al, 2019), obscenity (e.g., child sexual exploitation materials, see Henry et al, 2018), cyberviolence (e.g., cyberstalking, cyberbullying, see Costello et al, 2022) or even cyberterrorism (e.g., different intrusions, building extremist networks, see Lee et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Healthy but at Home: A Taxonomy to Structure the Opaque Remote Patient Monitoring Market

Kegel,

Diesterhöft,

Braun

et al. 2024

Proceedings of the Annual Hawaii International Conference on System Sciences

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Cyberdelinquency

Agustina,

Lux

2023

The Blackwell Encyclopedia of Sociology

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Cyberdelinquency is a composite term that refers to misdeeds carried out predominantly online by young people. Delinquency itself can be seen as a broad concept relating to juvenile antisocial behaviors that include crime, deviance, offense, and vice committed by individuals who are below the legal age of criminal responsibility but above a certain minimum age. The particularity in this case lies in the context in or scope with which the delinquent behavior is committed, mainly cyberspace as opposed to “meatspace.”

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Utilizing criminological theories to predict involvement in cyberviolence among the iGeneration

Cited by 3 publications

References 106 publications

Personal and social protective factors of cyberhate: A general strain theory approach

Personal and social protective factors of cyberhate: A general strain theory approach

Healthy but at Home: A Taxonomy to Structure the Opaque Remote Patient Monitoring Market

Cyberdelinquency

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