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 self-disclosed 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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Acar, A. (2008). Antecedents and consequences of online social networking behavior: The case of Facebook. Journal of Website Promotion, 3(1-2), 62–83. https://doi.org/10.1080/15533610802052654
Akers, R. L. (2009). Social learning and social structure: A general theory of crime and deviance. New Brunswick, NJ: Transaction.
Akers, R.L. (1998). Social learning and social structure: A general theory of crime and deviance. Boston, MA: Northeastern University Press.
Baek, H. (2018). Computer-specific parental management and online deviance across gender in South Korea: A test of self-control theory. International Journal of Cyber Criminology, 12(1), 68–83. https://doi.org/10.5281/zenodo.1467844
Bettencourt, A. (2014). Empirical Assessment of Risk Factors: How Online and Offline Lifestyle, Social Learning, And Social Networking Sites Influence Crime Victimization. In BSU Master’s Theses and Projects. Item 10. Available at http://vc.bridgew.edu/theses/10. Accessed 13 November 2020.
Brinker, D. L., Gastil, J., & Richards, R. C. (2015). Inspiring and informing citizens online: A media richness analysis of varied civic education modalities. Journal of Computer-Mediated Communication, 20(5), 504–519. https://doi.org/10.1111/jcc4.12128
Boeringer, S., Shehan, C. L., & Akers, R. L. (1991). Social contexts and social learning in sexual coercion and aggression: Assessing the contribution of fraternity membership. Family Relations, 40(1), 558–564.
Buker, H. (2011). Formation of self-control: Gottfredson and Hirschi's general theory of crime and beyond. Aggression and Violent Behavior, 16(3), 265–276. https://doi.org/10.1016/j.avb.2011.03.005
Burgess, R. L., & Akers, R. L. (1966). A differential association reinforcement theory of criminal behavior. Social Problems, 14(2), 128–147. https://doi.org/10.1525/sp.1966.14.2.03a00020
Burt, C. H., Simons, R. L., & Simons, L. G. (2006). A longitudinal test of the effects of parenting and the stability of self-control: Negative evidence for the general theory of crime. Criminology, 44(2), 353–396. https://doi.org/10.1111/j.1745-9125.2006.00052.x
Burton Jr., V. S., Cullen, F. T., Evans, D. T., & Dunaway, R. G. (1994). Reconsidering strain theory: Operationalization, rival theories, and adult criminality. Journal of Quantitative Criminology, 10(3), 213–239.
Burruss, G. W., Bossler, A. M., & Holt, T. J. (2012). Assessing the mediation of a fuller social learning model on low self-control’s influence on software piracy. Crime and Delinquency, 59(8), 1157–1184. https://doi.org/10.1177/0011128712437915
Clevenger, S. L., Navarro, J. N., & Jasinski, J. L. (2014). A matter of low self-control? Exploring differences between child pornography possessors and child pornography producers/distributers using self-control theory. Sexual Abuse, 28(6), 555–571. https://doi.org/10.1177/1079063214557173
Cohran, J. K., Sellers, C. S., Wiesbrock, V., & Palacios, W. R. (2011). Repetitive intimate partner victimization: An exploratory application of social learning theory. Deviant Behavior, 32(9), 790–817. https://doi.org/10.1080/01639625.2010.538342
Daft, R. L., & Lengel, R. H. (1986). Organizational information requirements, media richness and structural design. Management Science, 32(5), 554–571. https://doi.org/10.1287/mnsc.32.5.554
Daft, R. L., Lengel, R. H., & Trevino, L. K. (1987). Message equivocality, media selection and manager performance: Implications for information systems. Management Information Systems Quarterly, 11, 355–366. https://doi.org/10.2307/248682
Davenport, T.H., & Beck, J.C. (2002). The Attention Economy. Understanding the New Currency of Business. United Kingdom: Harvard Business School Press
Donner, C. M., Marcum, C. D., Jennings, W. G., Higgins, G. E., & Banfield, J. (2014). Low Self-Control and Cybercrime: Exploring the Utility of the General Theory of Crime beyond Digital Piracy. Computers in Human Behavior, 34, 165–172. https://doi.org/10.1016/j.chb.2014.01.040
Duckworth, A. L., Gendler, T. S., & Gross, J. J. (2016). Situational strategies for self-control. Perspectives on Psychological Science, 11(1), 35–55. https://doi.org/10.1177/1745691615623247
Duckworth, A. L., Gendler, T. S., & Gross, J. J. (2014). Self-control in school-age children. Educational Psychologist, 49, 199–217. https://doi.org/10.1080/00461520.2014.926225
Evans, J., & Mathur, A. (2005). The value of online surveys. Internet Research, 15(2), 195–219.
Fox, K. A., Nobles, M. R., & Akers, R. L. (2011). Is stalking a learned phenomenon? An empirical test of social learning theory. Journal of Criminal Justice, 39(1), 39–47. https://doi.org/10.1016/j.jcrimjus.2010.10.002
Gagnon, A. (2018). Extending Social Learning Theory to Explain Victimization Among Gang and Ex-Gang Offenders. International Journal of Offender Therapy and Comparative Criminology, 62(13), 4124–4141. https://doi.org/10.1177/0306624X18763761
GlobalWebIndex (2020). Social. GlobalWebIndex’s Flagship Report on the Latest Trends in Social Media. Globalwebindex.com, https://www.globalwebindex.com/reports/social. Accessed November 13, 2020.
Gottfredson, M., & Hirschi, T. (1990). A General Theory of Crime. Stanford, CA: Stanford University Press.
Hay, C., & Forrest, W. (2006). The development of self-control: Examining self-control theory’s stability thesis. Criminology, 44(4), 739–774. https://doi.org/10.1111/j.1745-9125.2006.00062.x
Hawdon, J. (2012). Applying differential association theory to online hate groups: A theoretical statement. Research on Finnish Society, 5, 39–47.
Higgins, G. E., Fell, B. D., & Wilson, A. L. (2007). Low self-control and social learning in understanding students’ intentions to pirate movies in the United States. Social Science Computer Review, 25(3), 339–357. https://doi.org/10.1177/0894439307299934
Higgins, G. E., Fell, B. D., & Wilson, A. L. (2006). Digital piracy: Assessing the contributions of an integrated self-control theory and social learning theory using structural equation modeling. Criminal Justice Studies, 19(1), 3–22. https://doi.org/10.1080/14786010600615934
Higgins, G. E., & Makin, D. A. (2004a). Does social learning theory condition the effects of low self-control on college students’ software piracy? Journal of Economic Crime Management, 2(2), 1–22.
Higgins, G. E., & Makin, D. A. (2004b). Self-control, deviant peers, and software piracy. Psychological Reports, 95(3), 921–931. https://doi.org/10.2466/pr0.95.3.921-931
Higgins, G. E., & Wilson, A. L. (2006). Low self-control, moral beliefs, and social learning theory in university students’ intentions to pirate software. Security Journal, 19(2), 75–92. https://doi.org/10.1057/palgrave.sj.8350002
Higgins, G. E., Wolfe, S. E., & Ricketts, M. L. (2009). Digital piracy: A latent class analysis. Social Science Computer Review, 27(1), 24–40. https://doi.org/10.1177/0894439308321350
Hinduja, S., & Ingram, J. (2009). Social learning theory and music piracy: the differential role of online and offline peer influences. Criminal Justice Studies, 22(4), 405–420. https://doi.org/10.1080/14786010903358125
Hinduja, S., & Ingram, J. (2008). Self-control and ethical beliefs on the social learning of intellectual property theft. Western Criminological Review, 9(2), 52–72.
Hollinger, R. C. (1993). Crime by computer: Correlates of software piracy and unauthorized account access. Security Journal, 4(1), 2–12.
Holt, T. J., Burruss, G. W., & Bossler, A. M. (2010). Social learning and cyber- deviance: Examining the importance of a full social learning model in the virtual world. Journal of Crime and Justice, 33(2), 31–61. https://doi.org/10.1080/0735648X.2010.9721287
Hope, T. L., Grasmick, H. G., & Pointon, L. J. (2012). The family in Gottfredson and Hirschi's General Theory of Crime: Structure, parenting, and self-control. Sociological Focus, 36(4), 291–311. https://doi.org/10.1080/00380237.2003.10571226
Hutchings, A., & Clayton, R. (2016). Exploring the Provision of Online Booter Services. Deviant Behavior, 37(10), 1163–1178. https://doi.org/10.1080/01639625.2016.1169829
Ingram, J. R., & Hinduja, S. (2008). Neutralizing music piracy: An empirical examination. Deviant Behavior, 29(4), 334–366. https://doi.org/10.1080/01639620701588131
Internetworldstats (2020). Internet usage statistics: The internet big picture, https://www.internetworldstats.com/stats.htm. Accessed April 20, 2021.
Ishii, K., Lyons, M. M., & Carr, S. A. (2019). Revisiting media richness theory for today and future. Human Behavior and Emerging Technologies, 1, 124–131. https://doi.org/10.1002/hbe2.138
Kemp, S. (2020). Digital 2020. Global Digital Overview. We Are Social, Hootsuite, January 30, 2020, https://datareportal.com/reports/digital-2020-global-digital-overview. Accessed November 13, 2020.
Lanza-Kaduce, L., & Klug, M. (1986). Learning to cheat: The interaction of moral development and social learning theories. Deviant Behavior, 7(3), 243–259. https://doi.org/10.1080/01639625.1986.9967710
Laub, J. H. & Sampson, R.J. (2003). Shared Beginnings, Divergent Lives: Delinquent Boys at Age 70. Boston, MA: Harvard University Press.
Lehdonvirta, V., Oksanen, A., Räsänen, P., & Blank, G. (2020). Social media, web, and panel surveys: using non-probability samples in social and policy research. Policy & Internet. https://doi.org/10.1002/poi3.238
Lehdonvirta, V., & Räsänen, P. (2011). How do young people identify with online and offline peer groups? A comparison between UK, Spain and Japan. Journal of Youth Studies, 14(1), 91–108. https://doi.org/10.1080/13676261.2010.506530
Li, C. K., Holt, T. J., Bossler, A. M., & May, D. C. (2016). Examining the mediating effects of social learning on the low self-control—Cyber bullying relationship in a youth sample. Deviant Behavior, 37(2), 126–138. https://doi.org/10.1080/01639625.2014.1004023
Lodge, J. M., & Harrison, W. J. (2019). The role of attention in learning in the digital age. Yale Journal of Biological Medicine, 92(1), 21–28.
MacInnis, B., Krosnick, J. A., Ho, A. S., & Cho, M. J. (2018). The accuracy of measurements with probability and nonprobability survey samples: Replication and extension. Public Opinion Quarterly, 82(4), 707–744. https://doi.org/10.1093/poq/nfy038
Malin, J., & Fowers, B. J. (2009). Adolescent self-control and music and movie piracy. Computers in Human Behavior, 25(3), 718–722. https://doi.org/10.1016/j.chb.2008.12.029
Marcum, C. D., Higgins, G. E., Ricketts, M. L., & Wolfe, S. E. (2014). Hacking in high school: Cybercrime perpetration by juveniles. Deviant Behavior, 35(7), 581–591. https://doi.org/10.1080/01639625.2013.867721
McCuddy, T., & Vogel, M. (2014). More than just friends: Online social networks and offending. Criminal Justice Review, 40(2), 169–189. https://doi.org/10.1177/0734016814557010
McGloin, J. M., & O'Neill Shermer, L. (2009). Self-control and deviant peer network structure. Journal of Research in Crime and Delinquency, 46(1), 35–72. https://doi.org/10.1177/0022427808326585
Meldrum, R. & Clark, J. (2013). Adolescent virtual time spent socializing with peers, substance use, and delinquency. Crime & Delinquency, 61(8), 1104–1126., https://doi.org/10.1177/0011128713492499
Meldrum, R. C., Young, J. T., & Weerman, F. M. (2009). Reconsidering the effect of self-control and delinquent peers: Implications of measurement for theoretical significance. Journal of Research in Crime and Delinquency, 46(3), 353–376. https://doi.org/10.1177/0022427809335171
Merkovity, N., Imre, R., & Owen, S. (2015). Homogenizing social media: Affect/effect and globalization of media and the public sphere. In Media and Globalization: Different Cultures, Societies, Political Systems (pp. 59-71) New York: Marie Curie-Sklodowska University Press (under Columbia University Press)
Miller, B., & Morris, R. G. (2016). Virtual peer effects in social learning theory. Crime and Delinquency, 62(12), 1543–1569. https://doi.org/10.1177/0011128714526499
Moon, B., McCluskey, J. D., & McCluskey, C. P. (2010). A General Theory of Crime and computer crime: An empirical test. Journal of Criminal Justice, 38(4), 767–772. https://doi.org/10.1016/j.jcrimjus.2010.05.003
Morris, R., & Blackburn, A. (2009). Cracking the code: An empirical exploration of social learning theory and computer crime. Journal of Crime and Justice, 32(1), 2–32. https://doi.org/10.1080/0735648X.2009.9721260
Morris, R. G., & Higgins, G. E. (2010). Criminological theory in the digital age: The case of social learning theory and digital piracy. Journal of Criminal Justice, 38(4), 470–480. https://doi.org/10.1016/j.jcrimjus.2010.04.016
Morris, R. G., & Higgins, G. E. (2009). Neutralizing potential and self-reported digital piracy: A multitheoretical exploration among college undergraduates. Criminal Justice Review, 34(2), 173–195. https://doi.org/10.1177/0734016808325034
Na, C., & Paternoster, R. (2012). Can self-control change substantially over time? Rethinking the relationship between self- and social control. Criminology, 50(2), 427–462. https://doi.org/10.1111/j.1745-9125.2011.00269.x
Nicolaides, A. (2012). Globalisation and Americanisation – The hijacking of indigenous African culture. Global Advanced Research Journal of History, Political Science and International Relations, 1(6), 118–131.
Nodeland, B., & Morris, R. (2020). A test of social learning theory and self-control on cyber offending. Deviant Behavior, 41(1), 41–56. https://doi.org/10.1080/01639625.2018.1519135
Osgood, D., & Anderson, A. (2004). Unstructured socialization and rates of delinquency. Criminology, 42(3), 519–550. https://doi.org/10.1111/j.1745-9125.2004.tb00528.x
Osgood, D., Wilson, J., O’Malley, P., Bachman, J., & Johnston, L. (1996). Routine activities and individual deviant behavior. American Sociological Review, 61(4), 635–655. https://doi.org/10.2307/2096397
Pempek, T., Yermolayeva, Y., & Calvert, S. (2009). College students’ social networking experiences on Facebook. Journal of Applied Developmental Psychology, 30(3), 227–238. https://doi.org/10.1016/j.appdev.2008.12.010
Peng, M., Chen, X., Zhao, Q., & Zhou, Z. (2018). Attentional scope is reduced by Internet use: A behavior and ERP study. PLoS ONE, 13(6), e0198543. https://doi.org/10.1371/journal.pone.0198543
Pratt, T. C., Cullen, F. T., Sellers, C. S., Winfree Jr., L. T., Madensen, T. D., Daigle, L. E., et al. (2010). The empirical status of social learning theory: A meta-analysis. Justice Quarterly, 27(6), 765–802. https://doi.org/10.1080/07418820903379610
Restubog, S. L. D., Garcia, P. R. J. M., Toledano, L. S., Amarnani, R. K., Tolentino, L. R., & Tang, R. L. (2011). Yielding to (cyber)-temptation: Exploring the buffering role of selfcontrol in the relationship between organizational justice and cyberloafing behavior in the workplace. Journal of Research in Personality, 45(2), 247–251. https://doi.org/10.1016/j.jrp.2011.01.006
Rogers, M.K. (2001). A Social Learning Theory and Moral Disengagement Analysis of Criminal Computer Behavior: An Exploratory Study. Unpublished doctoral dissertation, University of Manitoba, Winnipeg.
Schroeder, R. D., & Ford, J. A. (2012). Prescription drug misuse: A test of three competing criminological theories. Journal of Drug Issues, 42(1), 11–27. https://doi.org/10.1177/0022042612436654
Sellers, C. S., Cochran, J. K., & Branch, K. A. (2005). Social learning theory and partner violence: A research note. Deviant Behavior, 26(4), 379–395. https://doi.org/10.1080/016396290931669
Sellers, C. S., Cochran, J. K., & Winfree, L. T., Jr. (2003). Social learning theory and courtship violence: An empirical test. In R. L. Akers & G. F. Jensen (Eds.), Advances In Criminological Theory: Vol. 11. Social Learning Theory And The Explanation of Crime: A Guide For The New Century (pp. 109-128). New Brunswick, NJ: Transaction.
Shadmanfaat, S. M., Howell, C. J., Muniz, C. N., Cochran, J. K., & Kabiri, S. (2018). The predictive ability of self-control and differential association on sports fans’ decision to engage in cyber bullying perpetration against rivals. International Journal of Cyber Criminology, 12(2), 362–375. https://doi.org/10.5281/zenodo.3365618
Simmons, A. D., & Bobo, L. D. (2015). Can non-full-probability internet surveys yield useful data? A comparison with full-probability face-to-face surveys in the domain of race and social inequality attitudes. Sociological Methodology, 45(1), 357–387. https://doi.org/10.1177/0081175015570096
Skinner, W. F., & Fream, A. M. (1997). A social learning theory analysis of computer crime among college students. Journal of Research in Crime and Delinquency, 34(4), 495–518. https://doi.org/10.1177/0022427897034004005
Steger, M. (2013). Globalization: A Very Short Introduction (3rd ed.). Oxford (UK): Oxford University Press.
Sutherland, E. H. (1947). Principles of Criminology (4th ed.). Philadelphia, PA: Lippincott.
Sutherland, E.H., Cressey, D.R., & Luckenbill, D. (1995). The theory of differential association. In N.J. Herman (ed.) Deviance. A Symbolic Interactionist Approach. (pp. 64—71). Lanham, MD: General Hall
Tasheuras, O. N. (2019). Fostering resiliency and preventing re-victimization: A proposed social learning theory intervention for adult survivors of childhood sexual abuse. Crisis, Stress and Human Resilience: An International Journal, 1(1), 22–27.
U.S. Census Bureau (2019). https://www.census.gov/quickfacts/fact/table/US/RHI125218#RHI125218. Accessed November 13, 2020.
Van Ouytsel, J., Ponnet, K., & Walrave, M. (2017). Cyber dating abuse: Investigating digital monitoring behaviors among adolescents from a social learning perspective. Journal of Interpersonal Violence, 37(23-24), 5157–5178. https://doi.org/10.1177/0886260517719538
Van Zoonen, L. (2013). From identity to identification: fixating the fragmented self. Media, Culture and Society, 35(1), 44–51. https://doi.org/10.1177/0163443712464557
Vazsonyi, A. T., Machackova, H., Sevcikova, A., Smahel, D., & Cerna, A. (2012). Cyber bullying in context: Direct and indirect effects by low self-control across 25 European countries. European Journal of Developmental Psychology, 9(2), 210–227. https://doi.org/10.1080/17405629.2011.644919
Walters, G. (2020). Explaining the drug-crime connection with peers, proactive criminal thinking, and victimization: Systemic, cognitive social learning, and person proximity mechanisms. Psychology of Addictive Behaviors. https://doi.org/10.1037/adb0000606
Wansink, B. (2001). Editorial: The Power of Panels. Journal of Database Marketing & Customer Strategy Management, 8(3), 190–194.
Warr, M. (2002). Companions in Crime: The Social Aspects of Criminal Conduct. Cambridge University Press.
Weerman, F., Bernasco, W., Bruinsma, G., & Pauwels, L. (2013). When is spending time with peers related to delinquency? The importance of where, what, and with whom. Crime & Delinquency, 61(10), 1–28. https://doi.org/10.1177/0011128713478129
Weinberg, J. D., Freese, J., & McElhattan, D. (2014). Comparing data characteristics and results of an online factorial survey between a population-based and a crowdsource-recruited sample. Sociological Science, 1, 292—310. DOI 10.15195/v1.a19
White, H. R., Pandina, R. J., & LaGrange, R. L. (1987). Longitudinal predictors of serious substance use and delinquency. Criminology, 25(3), 715–740. https://doi.org/10.1111/j.1745-9125.1987.tb00816.x
Winfree Jr., L. T., Mays, G. L., & Vigil-Backstrom, T. (1994). Youth gangs and incarcerated delinquents: Exploring the ties between gang membership, delinquency, and social learning. Justice Quarterly, 11(2), 229–256.
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This research was funded by the Center for Peace Studies and Violence Prevention at Virginia Tech. Grant number 105-19.
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Dearden, T.E., Parti, K. Cybercrime, Differential Association, and Self-Control: Knowledge Transmission Through Online Social Learning. Am J Crim Just 46, 935–955 (2021). https://doi.org/10.1007/s12103-021-09655-4
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DOI: https://doi.org/10.1007/s12103-021-09655-4