Cybercrime and Digital Deviance

Graham, Roderick; Smith, Shawn

doi:10.4324/9781351238090

Cited by 9 publications

(7 citation statements)

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“…Online delinquent and problem behavior can take many forms. A commonly used typology classifies cybercrime and cyberdeviance into four types: cybertresspass (e.g., malware), cyberpornography, cyberviolence (e.g., cyberbullying, trolling, flaming), and cyberdeception and theft (e.g., digital piracy; Graham & Smith, 2019;Wall, 2001). For instance, some youth trespass into off-limits online spaces in ways that could have severe criminal penalties (e.g., cracking into bank accounts) whereas others trespass in ways that are less likely to be prosecuted but nonetheless problematic (e.g., hacking into a peer's social media account).…”

Section: Overlap Between Online and Offline Delinquencymentioning

confidence: 99%

Digital Media in Adolescent Health Risk and Externalizing Behaviors

Jensen¹,

Weinstein²,

Brown³

et al. 2022

Handbook of Adolescent Digital Media Use and Mental Health

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Adolescent externalizing and health risk behaviors are some of the leading causes of morbidity and mortality among young people (Blum & Qureshi, 2011;Kann et al., 2018) and are of significant public health concern. Adolescence is a key period for understanding these types of behaviors, as they tend to emerge and peak in this stage (Claxton & van Dulmen, 2013;Krieger et al., 2018). Importantly, adolescence is not only a key risk corridor for risky and problem behaviors, but also for entry into new social and digital spaces; most social networking sites (and their regulators) set age 13 as the age at which youth can have their own accounts (Jargon, 2019). Co-construction theory (Subrahmanyam et al., 2006) asserts that adolescents create (and co-create) their online worlds and experiences to match developmental needs, and thus we should not be surprised that adolescents' developmentally appropriate affinities for risk taking, boundary testing, and affiliation would all manifest in some form in digital spaces, and that digital activities and offline behaviors would be mutually influential.How youth digital media use and externalizing/risk-taking behaviors intersect is somewhat more complicated. In many domains, adolescent rates of health risk behaviors (substance use, sexual risk taking, violence perpetration) are at their lowest levels in decades (Lewycka et al., 2018;Twenge & Park, 2017), which some have asserted may be related to the proliferation of digital media and displacement of time (previously spent engaging in risk behaviors) in favor of time online and new forms of leisure, entertainment, and relationship formation (Kraut et al., 1998). Others have posited that youth engagement in online communities allows for covert or hidden coordination or reinforcement of deviancy and rule breaking, and thus technology may be linked with increased problem behavior (Ehrenreich & Underwood, 2016). In fact, the associations are not always straightforward, and thus this chapter seeks to summarize and integrate the research findings that have been published to date on these mutual influences and the mechanisms that underlie them.

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Section: Overlap Between Online and Offline Delinquencymentioning

confidence: 99%

Digital Media in Adolescent Health Risk and Externalizing Behaviors

Jensen¹,

Weinstein²,

Brown³

et al. 2022

Handbook of Adolescent Digital Media Use and Mental Health

View full text Add to dashboard Cite

show abstract

“…A particular category of deviance, increasingly common nowadays, is cyber-deviance, which refers to the harmful activities happening in the digital sphere (Jewkes and Yar, 2013;Graham and Smith, 2019;Yar and Steinmetz, 2019). While the current understanding of deviance is rooted in Durkheim's (2002) definition of crime, the debate on cyber deviance (online deviance) can be traced back to Wall's (2001) conceptualization of cybercrime.…”

Section: Types Of Deviancementioning

confidence: 99%

“…Therefore, cybercrime refers to online harmful activities sanctioned by formal laws. The other types of online disruptive activities are included under the umbrella term of cyber deviance, which relates to informal violations of laws (Jewkes and Yar, 2013;Graham and Smith, 2019;Yar and Steinmetz, 2019).…”

Section: Types Of Deviancementioning

confidence: 99%

Adolescent Deviance and Cyber-Deviance. A Systematic Literature Review

et al. 2021

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Deviance is a complex phenomenon that influences aspects both at the macro and micro levels, extensively studied by social scientists The main objective of this article was to conduct a systematic literature review for clustering the topics on adolescent deviance and online deviance. Grounded in Pickering's and Byrne's guidelines and PRISMA protocol, we identified the most recurrent themes, theories and predictors in the 61 most-cited articles related to the concept of deviance from the database of Web of Science, as well as in 488 abstracts of representative papers. The results emphasized four main clusters of topics, namely, predictors of deviance, online deviance, socio-constructivist theories, and research based theories of deviant behavior. The findings highlighted that researchers frequently use strain theory, social learning, self-control, and social control theories in their studies. Our systematic literature review revealed also the most encountered predictors of deviance, which we have classified into five main categories: family patterns, socio-demographic aspects, socialization, victimization, and school and individual factors. For online deviance, family patterns, socio-demographic aspects, victimization, school and individual factors, and Internet and computer use have been determined to be the main groups of predictors. The present systematic literature review makes an important contribution to the understanding of deviance by presenting an overview of the phenomenon.

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“…Policy documents distinguish cyber-dependent crimes (i.e., offences that can only be committed through digital systems, which mainly include malware, hacking and denial of service attacks) from cyber-enabled crimes (i.e., traditional crimes which have increased in scale or reach due to the use of digital technologies, including cyber-enabled fraud but also other cyber-enabled predatory offences and crimes against individuals). This definition is nonetheless restricted to those behaviors categorized as 'criminal' by the criminal law, thus excluding other forms of online deviant behavior with harmful consequences (Graham and Smith, 2020). Although the distinction between 'cybercrime' and 'cyberdeviance' is not always clear-cut (Cioban et al, 2021), most national surveys have tended to focus on criminal behaviors.…”

Section: Introductionmentioning

confidence: 99%

Measuring Cybercrime and Cyberdeviance in Surveys

Buil‐Gil¹,

Trajtenberg²,

Aebi³

2023

Preprint

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Cybercrime is on the rise, and so is the need to systematically analyze its prevalence, distribution, causes, and consequences. While official records (mainly police, prosecution and court statistics) provide important information to explore online crime, they have been subject to extensive criticism due to the presence of measurement error arising from the combined influences of victims’ underreporting and recording practices. Consequently, researchers, crime analysts and policy makers are increasingly relying on estimates of cybercrime and cyberdeviance based on surveys. This chapter reviews the measures of cybercrime and cyberdeviance included in national crime surveys, including household and business victimization surveys and self-report offending surveys. The chapter describes, categorizes and compares measures included in surveys, and discusses opportunities and limitations to generate reliable and valid estimates to study cybercrime and cyberdeviance. Measures included in surveys do not capture the diversity of criminal and deviant behaviors that take place online, and some surveys only probe about certain frauds that may take place both on and offline. The chapter identifies opportunities for researchers to utilize existing data to advance our understanding of online victimization and offending, and provides methodological recommendations to improve the recording of cybercrime and cyberdeviance in existing surveys.

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Cybercrime and Digital Deviance

Cited by 9 publications

References 0 publications

Digital Media in Adolescent Health Risk and Externalizing Behaviors

Digital Media in Adolescent Health Risk and Externalizing Behaviors

Adolescent Deviance and Cyber-Deviance. A Systematic Literature Review

Measuring Cybercrime and Cyberdeviance in Surveys

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