Published October 21, 2018
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Predicting Moral Disengagement from the Harms associated with Digital Music Piracy: An Exploratory, Integrative Test of Digital Drift and the Criminal Interaction Order
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This exploratory paper estimates a predictive model for moral disengagement from harms associated with digital music piracy. Our approach is founded upon Goldsmith and Brewer’s (2015) proposed digital criminal interaction order. This framework suggests that electronic resources (e.g. social media; message boards; digital texts; etc.) may act as proxy for conventional social interaction in learning deviant ideologies and developing neutralizing strategies. To the best of our knowledge, this theory has not yet been empirically tested. To this end we developed an integrated research tool and administered it to a non-random sample of 625 people. The test includes measures for technological competency; capacity to mask personal identity online; affinity modeling deviant behaviors encountered online; positive affect for engaging in digital deviance; and moral disengagement. A multiple linear regression of the standardized variables indicated that digital capacity for identity protection, affinity for modeling, and positive affect for digital deviance significantly predicted moral disengagement from the harms associated with digital music piracy (F = 94.011, p < .05, adj. R2 = .319). Further implications from these findings are discussed in relation to music piracy specifically, and digital deviance generally.
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References
- Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. Akers, R. (2009). Social learning and social structure: A general theory of crime and deviance. New Brunswick, NJ: Transaction Publishers. Al-Rafee, S., & Dashti, A. E. (2012). A cross cultural comparison of the extended TPB: The case of digital piracy. Journal of Global Information Technology Management, 15(1), 5-24. Baggili, I., & Rogers, M. (2009). Self-reported cyber crime: An analysis on the effects of anonymity and pre-employment integrity. International Journal of Cyber Criminology, 3(2), 550. Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological review, 84(2), 191. Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Multifaceted impact of self efficacy beliefs on academic functioning. Child development, 67(3), 1206-1222. Bandura, A., Underwood, B., &Fromson, M. E. (1975). Disinhibition of aggression through diffusion of responsibility and dehumanization of victims. Journal of research in personality, 9(4), 253-269. Bateman, C. R., Valentine, S., & Rittenburg, T. (2013). Ethical decision making in a peer-to-peer file sharing situation: The role of moral absolutes and social consensus. Journal of Business Ethics, 115(2), 229-240. Benkler, Y. (2000). Internet regulation: A case study in the problem of unilateralism. European Journal of International Law, 11(1), 171-185. Bossewitch, J., &Sinnreich, A. (2013). The end of forgetting: Strategic agency beyond the panopticon. New Media & Society, 15(2), 224-242. Burkart, P., & Andersson Schwarz, J. (2015). Editorial Introduction: Piracy and Social Change—Revisiting Piracy Cultures. International Journal of Communication, 9, 792-797. Castells, M. (1999). The Information Age: Economy, Society and Culture. Volume 2: The Power of Identity. Oxford: Blackwell Publishers Castells, M. (2000). Materials for an exploratory theory of the network society1. The British journal of sociology, 51(1), 5-24. Castells, M. (2009). Communication Power. Oxford: Oxford University Press Cronan, T. P., & Al-Rafee, S. (2008). Factors that influence the intention to pirate software and media. Journal of Business Ethics, 78(4), 527-545. Dahlberg, L. (2010). Cyber-libertarianism 2.0: A discourse theory/critical political economy examination. Cultural politics, 6(3), 331-356. Daschuk, M., & Popham, J. (2013). Music identities, individualization, and ownership shifts: Empowering a litigious paradigm of copyright protection. In Deflem, M (ed.) Music and Law (Sociology of Crime, Law and Deviance, 18), p. 59-78. Bingley, UK: Emerald Group Publishing Limited. David, M. (2010). Peer to peer and the music industry: The criminalization of sharing. Los Angeles: Sage Demetrious, K. (2008). Secrecy and illusion: Second Life and the construction of unreality. Australian Journal of Communication, 35(1), 1. Diaz, A. A. (2013). Getting Information off the Internet Is like Taking a Drink from a Fire Hydrant-The Murky Area of Authenticating Website Screenshots in the Courtroom. Am. J. Trial Advoc., 37, 65. Durndell, A., & Haag, Z. (2002). Computer self efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample. Computers in human behavior, 18(5), 521-535. Elton, S. (2013). Graduated responses to online piracy: Approaches taken in the United States and around the world. In Deflem, M. (ed.) Music and Law (Sociology of Crime, Law and Deviance, 18), (p. 37-58). Bingley, UK: Emerald Group Publishing Limited Eynon, R., &Malmberg, L. E. (2012). Understanding the online information seeking behaviours of young people: the role of networks of support. Journal of Computer Assisted Learning, 28(6), 514-529. Gerlich, R. N., Lewer, J. J., & Lucas, D. (2010). Illegal media file sharing: The impact of cultural and demographic factors. Journal of Internet Commerce, 9(2), 104-126. Gernsbacher, M. A. (2014). Internet-based communication. Discourse processes, 51(5-6), 359-373. Giddens, A. (2007). The consequences of modernity. 1990. Goffman, E. (1963). Stigma. NJ: Spectrum. Goffman, E. (1983). The interaction order: American Sociological Association, 1982 presidential address. American sociological review, 48(1), 1-17. Goldsmith, A., & Brewer, R. (2015). Digital drift and the criminal interaction order. Theoretical Criminology, 19(1), 112-130. Gopal, R. D., Sanders, G. L., Bhattacharjee, S., Agrawal, M., & Wagner, S. C. (2004). A behavioral model of digital music piracy. Journal of organizational computing and electronic commerce, 14(2), 89-105. Hargittai, E. (2009). An update on survey measures of web-oriented digital literacy. Social science computer review, 27(1), 130-137. Hargittai, E., & Hsieh, Y. P. (2012). Succinct survey measures of web-use skills. Social Science Computer Review, 30(1), 95-107. Harrison, T. M., &Barthel, B. (2009). Wielding new media in Web 2.0: exploring the history of engagement with the collaborative construction of media products. New Media & Society, 11(1-2), 155-178. Higgins, G. E., & Makin, D. A. (2004). 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., Wolfe, S. E., & Marcum, C. D. (2008). Digital piracy: An examination of three measurements of self-control. Deviant Behavior, 29(5), 440-460. Higgins, G. E., Wolfe, S. E., & Ricketts, M. L. (2009). Digital piracy: A latent class analysis. Social Science Computer Review, 27(1), 24-40. Higgins, G. E., & Marcum, C. D. (2011). Digital piracy: An integrated theoretical approach. Carolina Academic Press. Hinduja, S. (2001). Correlates of Internet software piracy. Journal of Contemporary Criminal Justice, 17(4), 369-382. Hinduja, S. (2006). Music piracy and crime theory (p. 16). LFB Scholarly Pub. LLC. Hinduja, S., & Ingram, J. R. (2009). Social learning theory and music piracy: the differential role of online and offline peer influences. Criminal Justice Studies, 22(4), 405-420. Holt, T. J., & Bossler, A. M. (2014). An assessment of the current state of cybercrime scholarship. Deviant Behavior, 35(1), 20-40. Ingram, J. R., & Hinduja, S. (2008). Neutralizing music piracy: An empirical examination. Deviant Behavior, 29(4), 334-366. Jackson, B. F. (2014). Censorship and Freedom of Expression in the Age of Facebook. NML Rev., 44, 121. Klayman, J. (1995). Varieties of confirmation bias. Psychology of learning and motivation, 32, 385-418. Knuttila, L. (2011). User unknown: 4chan, anonymity and contingency. First Monday, 16(10). Koklic, M. K., Kukar-Kinney, M., & Vida, I. (2016). Three-level mechanism of consumer digital piracy: Development and cross-cultural validation. Journal of Business Ethics, 134(1), 15-27. Kolko, J. (2010). How broadband changes online and offline behaviours. Information economics and policy, 22(1-2), 144-152. Leavitt, A. (2015, February). This is a throwaway account: Temporary technical identities and perceptions of anonymity in a massive online community. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 317-327). ACM. Livingstone, S., & Helsper, E. (2010). Balancing opportunities and risks in teenagers' use of the internet: The role of online skills and internet self-efficacy. New media & society, 12(2), 309-329. Livingstone, S., Ólafsson, K., & Staksrud, E. (2011). Social networking, age and privacy. Lowry, P. B., Zhang, J., & Wu, T. (2017). Nature or nurture? A meta-analysis of the factors that maximize the prediction of digital piracy by using social cognitive theory as a framework. Computers in Human Behavior, 68, 104-120. Lwin, M. O., & Williams, J. D. (2003). A model integrating the multidimensional developmental theory of privacy and theory of planned behavior to examine fabrication of information online. Marketing Letters, 14(4), 257-272. Malin, J., & Fowers, B. J. (2009). Adolescent self-control and music and movie piracy. Computers in Human Behavior, 25(3), 718-722. Marres, N. (2017). Digital sociology: The reinvention of social research. John Wiley & Sons. Matza, D. (1964). Drift. J. Wiley. McKinley, C. J., & Ruppel, E. K. (2014). Exploring how perceived threat and self-efficacy contribute to college students' use and perceptions of online mental health resources. Computers in Human Behavior, 34, 101-109. Miller, B., & Morris, R. G. (2016). Virtual peer effects in social learning theory. Crime & Delinquency, 62(12), 1543-1569. 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 Osofsky, M. J., Bandura, A., & Zimbardo, P. G. (2005). The role of moral disengagement in the execution process. Law and Human Behavior, 29(4), 371. Pakman, D. (2014, March 18). The price of music. Re/code magazine. Retrieved from http://recode.net/2014/03/18/the-price-of-music. Panas, E. E., & Ninni, V. E. (2011). Ethical decision making in electronic piracy: An explanatory model based on the diffusion of innovation theory and theory of planned behavior. International Journal of Cyber Criminology, 5(2), 836. Peukert, A. (2012). Why Do 'Good People' Disregard Copyright on the Internet?. In Geiger (ed.), Criminal Enforcement of Intellectual Property: A Handbook of Contemporary Research (pp. 151-167). Northampton, UK: Edward Elgar Publishing. Phau, I., Lim, A., Liang, J., &Lwin, M. (2014). Engaging in digital piracy of movies: a theory of planned behaviour approach. Internet Research, 24(2), 246-266. Popham, J. (2011). Factors influencing music piracy. Criminal Justice Studies, 24(2), 199-209. Rogers, M. K. (2001). A social learning theory and moral disengagement analysis of criminal computer behavior: An exploratory study, Winnipeg: University of Manitoba. Unpublished doctoral dissertation. Retrieved from www.cerias.purdue.edu/assets/pdf/bibtex_archive/rogers_01.pdf. Rudesill, D. S., Caverlee, J., & Sui, D. (2015). The Deep Web and the Darknet: A Look Inside the Internet's Massive Black Box. Woodrow Wilson International Center for Scholars, STIP, 3. Schreiner, M., & Hess, T. (2015, May). Why Are Consumers Willing to Pay for Privacy? An Application of the Privacy-freemium Model to Media Companies. In ECIS. Sheller, M. (2004). Mobile publics: beyond the network perspective. Environment and Planning D: Society and Space, 22(1), 39-52. Shemroske, K., & Silva, L. (2015). Mechanisms for Understanding Participation in Online File Sharing. International Journal of Information Communication Technologies and Human Development (IJICTHD), 7(1), 17-36. Siemens, G. (2005). Connectivism: Learning as network-creation. ASTD Learning News, 10(1), 1-28. Sinclair, G., & Green, T. (2016). Download or stream? Steal or buy? Developing a typology of today's music consumer. Journal of Consumer Behaviour, 15(1), 3-14. Sinha, R. K., & Mandel, N. (2008). Preventing digital music piracy: the carrot or the stick?. Journal of Marketing, 72(1), 1-15. Siwek, S. (2007, August). The true cost of sound recording piracy to the U.S. economy (Policy Report no. 188). Dallas, TX: The Institute for Policy Innovation. 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. Stalans, L. J., & Finn, M. A. (2016). Understanding How the Internet Facilitates Crime and Deviance. Victims & Offenders 11(4), 501-508 Stryker, C. (2011). Epic win for anonymous: How 4chan's army conquered the web. The Overlook Press. Sun, N., Rau, P. P. L., & Ma, L. (2014). Understanding lurkers in online communities: A literature review. Computers in Human Behavior, 38, 110-117. Sykes, G. M., & Matza, D. (1957). Techniques of neutralization: A theory of delinquency. American sociological review, 22(6), 664-670. Taddei, S., & Contena, B. (2013). Privacy, trust and control: Which relationships with online self-disclosure?. Computers in Human Behavior, 29(3), 821-826. Torkzadeh, G., & Koufteros, X. (1994). Factorial validity of a computer self-efficacy scale and the impact of computer training. Educational and psychological measurement, 54(3), 813-821. Van Dijck, J. (2013). 'You have one identity': performing the self on Facebook and LinkedIn. Media, Culture & Society, 35(2), 199-215. Vida, I., Kos Koklič, M., Kukar-Kinney, M., & Penz, E. (2012). Predicting consumer digital piracy behavior: The role of rationalization and perceived consequences. Journal of Research in Interactive Marketing, 6(4), 298-313. Wadhwa, V. (2014, April 15). Laws and ethics can't keep pace with technology: Codes we live by, laws, we follow, and computers that move too fast to care. MIT Technology Review. Retrieved from: http://www.technologyreview.com/view/526401/laws-and-ethics-cant-keep-pace-with-technology. Wall, D. (1999). Cybercrimes: New wine, no bottles?. In Davies, P., Francis, P., and Jupp, V. (eds.) Invisible Crimes (p. 105-139). Palgrave Macmillan UK. Wall, D. S., & Williams, M. (2014). Policing cybercrime: networked and social media technologies and the challenges for policing. London: Routledge. Weimann, G. (2010). Terror on facebook, twitter, and youtube. The Brown Journal of World Affairs, 16(2), 45-54. Whitty, M. T., & McLaughlin, D. (2007). Online recreation: The relationship between loneliness, Internet self-efficacy and the use of the Internet for entertainment purposes. Computers in Human Behavior, 23(3), 1435-1446. Wiedemann, C. (2014). Between swarm, network, and multitude: Anonymous and the infrastructures of the common. Distinktion: Scandinavian Journal of Social Theory, 15(3), 309-326. Yoon, C. (2011). Theory of planned behavior and ethics theory in digital piracy: An integrated model. Journal of Business Ethics, 100(3), 405-417. Zimmer, M., & Hoffmann, A. L. (2016). Preface: A decade of Web 2.0-Reflections, critical perspectives, and beyond. First Monday, 21(6).