Dearden, Thomas E.Parti, KatalinHawdon, James E.Miller, Mitchell2021-11-102021-11-102021-11-101066-2316http://hdl.handle.net/10919/106589In 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.application/pdfsocial learningcybercrimedifferential associationslearningonline crimes1602 Criminology1605 Policy and AdministrationArticle - Refereed2021-11-10https://doi.org/10.1007/s12103-021-09655-4Parti, Katalin [0000-0002-8484-3237]Dearden, Thomas [0000-0003-0549-927X]1936-1351