Cybercrime, Differential Association, and Self-Control: Knowledge Transmission Through Online Social Learning

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Date

2021-11-10

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Springer

Abstract

In an increasingly digital world, our social interactions are increasingly moving online. Differential association and social learning theories suggest that we learn both moral definitions and the how-to of crime from those we associate with. In this paper we examine whether online or offline social learning leads to more selfdisclosed forms of cyber-offending. Using a national online sample of 1,109 participants, we find both online and offline social learning are important correlates to cyber-offending. In addition, we predict that lower self-control will interact with social learning to further increase the likelihood of cyber-offending. Overall, we find that both social learning and self-control, individually and as an interaction, have a large effect-size in predicting cyber-offending.

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Keywords

social learning, cybercrime, differential associations, learning, online crimes, 1602 Criminology, 1605 Policy and Administration

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