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Explaining Cyber Deviance among School-Aged Youth

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  • Byung H. Lee

    (Central Connecticut State University)

Abstract

With the increasing access to and ownership of computer-mediated devices among children and youth nowadays, it is important to understand the determinants associated with their participation in deviant activities online. The current study extends prior research by utilizing a South Korean adolescent sample and multivariate analyses in order to explore the theoretical and demographic correlates of multiple types of cyber deviance – media and software piracy, computer hacking, and online harassment. Findings reveal that low self-control and deviant peer association are related to specific forms of cyber deviance. Additionally, this study illustrates that while time spent online engaging activities is associated with youth participation in deviant behaviors online, smartphone ownership did not have an effect on their deviance. Implications for research and policy are discussed.

Suggested Citation

  • Byung H. Lee, 2018. "Explaining Cyber Deviance among School-Aged Youth," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(2), pages 563-584, April.
    • Handle: RePEc:spr:chinre:v:11:y:2018:i:2:d:10.1007_s12187-017-9450-2
    DOI: 10.1007/s12187-017-9450-2
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    References listed on IDEAS

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    1. Hauke Jan & Kossowski Tomasz, 2011. "Comparison of Values of Pearson's and Spearman's Correlation Coefficients on the Same Sets of Data," Quaestiones Geographicae, Sciendo, vol. 30(2), pages 87-93, June.
    2. Bossler, Adam M. & Holt, Thomas J., 2010. "The effect of self-control on victimization in the cyberworld," Journal of Criminal Justice, Elsevier, vol. 38(3), pages 227-236, May.
    3. Moon, Byongook & McCluskey, John D. & McCluskey, Cynthia Perez, 2010. "A general theory of crime and computer crime: An empirical test," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 767-772, July.
    4. Morris, Robert G. & Higgins, George E., 2010. "Criminological theory in the digital age: The case of social learning theory and digital piracy," Journal of Criminal Justice, Elsevier, vol. 38(4), pages 470-480, July.
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    Cited by:

    1. Buil-Gil, David & Trajtenberg, Nicolas & Aebi, Marcelo F., 2023. "Measuring Cybercrime and Cyberdeviance in Surveys," SocArXiv r8ygd, Center for Open Science.
    2. Monika Verbalyte & Christoph Keitel & Krista Howard, 2022. "Online Trolls: Unaffectionate Psychopaths or Just Lonely Outcasts and Angry Partisans?," Politics and Governance, Cogitatio Press, vol. 10(4), pages 396-410.
    3. Chen, Ji-Kang & Chang, Ching-Wen & Wang, Zhiyou & Wang, Li-Chih & Wei, Hsi-Sheng, 2021. "Cyber deviance among adolescents in Taiwan: Prevalence and correlates," Children and Youth Services Review, Elsevier, vol. 126(C).

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