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Proceedings on Privacy Enhancing Technologies

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Cross-Cultural Privacy Prediction

Yao Li / Alfred Kobsa / Bart P. Knijnenburg / M-H. Carolyn Nguyen
Published Online: 2017-04-04 | DOI: https://doi.org/10.1515/popets-2017-0019

Abstract

The influence of cultural background on people’s privacy decisions is widely recognized. However, a cross-cultural approach to predicting privacy decisions is still lacking. Our paper presents a first integrated cross-cultural privacy prediction model that merges cultural, demographic, attitudinal and contextual prediction. The model applies supervised machine learning to users’ decisions on the collection of their personal data, collected from a large-scale quantitative study in eight different countries. We find that adding culture-related predictors (i.e. country of residence, language, Hofstede’s cultural dimensions) to demographic, attitudinal and contextual predictors in the model can improve the prediction accuracy. Hofstede’s variables - particularly individualism and indulgence - outperform country and language. We further apply generalized linear mixed-effect regression to explore possible interactions between culture and other predictors. We find indeed that the impact of contextual and attitudinal predictors varies between different cultures. The implications of such models in developing privacy-enabling technologies are discussed.

Keywords: privacy decision; culture; individualism; context

References

  • [1] A. Acquisti and J. Grossklags. Privacy Attitudes and Privacy Behavior. In L. Camp and S. Lewis, editors, Economics of Information Security, volume 12 of Advances in Information Security, pages 165–178. Springer US, 2004.Google Scholar

  • [2] I. Ajzen. The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2):179–211, 1991.CrossrefGoogle Scholar

  • [3] I. Altman. Privacy Regulation: Culturally Universal or Culturally Specific? Journal of Social Issues, 33(3):66–84, July 1977.CrossrefGoogle Scholar

  • [4] A. Anton, J. Earp, and J. Young. How internet users’ privacy concerns have evolved since 2002. IEEE Security Privacy, 8(1):21–27, Jan. 2010.CrossrefGoogle Scholar

  • [5] K. Bartel Sheehan. An investigation of gender differences in on-line privacy concerns and resultant behaviors. Journal of Interactive Marketing, 13(4):24–38, 1999.CrossrefGoogle Scholar

  • [6] R. F. Baskerville. Hofstede never studied culture. Accounting, Organizations and Society, 28(1):1–14, Jan. 2003.Google Scholar

  • [7] S. Bellman, E. J. Johnson, S. J. Kobrin, and G. L. Lohse. International Differences in Information Privacy Concerns: A Global Survey of Consumers. The Information Society, 20(5):313–324, Nov. 2004.Google Scholar

  • [8] M. Benisch, P. G. Kelley, N. Sadeh, and L. Cranor. Capturing Location-Privacy Preferences: Quantifying Accuracy and User-Burden Tradeoffs. Technical Report CMU-ISR-10-105, 2010.Google Scholar

  • [9] I. Bilogrevic, K. Huguenin, B. Agir, M. Jadliwala, and J.-P. Hubaux. Adaptive Information-sharing for Privacy-aware Mobile Social Networks. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp ’13, pages 657–666, New York, NY, USA, 2013. ACM.Google Scholar

  • [10] S. S. Brehm and J. W. Brehm. Psychological Reactance: A Theory of Freedom and Control. Academic Press, Oct. 2013.Google Scholar

  • [11] H. Cho, M. Rivera-Sánchez, and S. S. Lim. A multinational study on online privacy: global concerns and local responses. New Media Society, 11(3):395–416, May 2009.CrossrefGoogle Scholar

  • [12] T. C. C. Connection. Chinese Values and the Search for Culture-Free Dimensions of Culture. Journal of Cross-Cultural Psychology, 18(2):143–164, June 1987.Google Scholar

  • [13] T. Dinev, M. Bellotto, P. Hart, V. Russo, and I. Serra. Internet Users’ Privacy Concerns and Beliefs About Government Surveillance: An Exploratory Study of Differences Between Italy and the United States. Journal of Global Information Management, 14(4):57–93, 2006.CrossrefGoogle Scholar

  • [14] T. Dinev, M. Bellotto, P. Hart, V. Russo, I. Serra, and C. Colautti. Privacy calculus model in e-commerce – a study of Italy and the United States. Eur J Inf Syst, 15(4):389–402, 2006.CrossrefGoogle Scholar

  • [15] C. Dong, H. Jin, and B. P. Knijnenburg. Predicting Privacy Behavior on Online Social Networks. In Ninth International AAAI Conference on Web and Social Media, pages 91–100. AAAI Publications, Apr. 2015.Google Scholar

  • [16] L. Fang and K. LeFevre. Privacy Wizards for Social Networking Sites. In Proceedings of the 19th International Conference on World Wide Web, WWW ’10, pages 351–360, Raleigh, NC, 2010. ACM.Google Scholar

  • [17] R. L. Helmreich and A. R. Merritt. Culture at work in aviation and medicine: national, organizational and professional influences. Ashgate, 2001.Google Scholar

  • [18] G. Hofstede. What did GLOBE really measure? Researchers’ minds versus respondents’ minds. J Int Bus Stud, 37(6):882–896, Sept. 2006.CrossrefGoogle Scholar

  • [19] G. Hofstede. Dimensionalizing Cultures: The Hofstede Model in Context. Online Readings in Psychology and Culture, 2(1), Dec. 2011.Google Scholar

  • [20] G. Hofstede and M. H. Bond. Hofstede’s Culture Dimensions An Independent Validation Using Rokeach’s Value Survey. Journal of Cross-Cultural Psychology, 15(4):417–433, Dec. 1984.Google Scholar

  • [21] G. H. Hofstede and G. Hofstede. Culture’s Consequences: Comparing Values, Behaviors, Institutions and Organizations Across Nations. SAGE, Apr. 2001.Google Scholar

  • [22] G. Holmes, A. Donkin, and I. H. Witten. WEKA: a machine learning workbench. In Proceedings of the 1994 Second Australian and New Zealand Conference on Intelligent Information Systems, 1994, pages 357–361, Nov. 1994.Google Scholar

  • [23] M. H. Hoppe. A comparative study of country elites: International differences in work-related values and learning and their implications for management training and development. PhD thesis, University of North Carolina at Chapel Hill, 1990.Google Scholar

  • [24] R. J. House, P. J. Hanges, M. Javidan, P. W. Dorfman, and V. Gupta. Culture, Leadership, and Organizations: The GLOBE Study of 62 Societies. SAGE Publications, Apr. 2004.Google Scholar

  • [25] L. K. John, A. Acquisti, and G. Loewenstein. Strangers on a Plane: Context-Dependent Willingness to Divulge Sensitive Information. Journal of Consumer Research, 37(5):858–873, Feb. 2011.CrossrefGoogle Scholar

  • [26] B. P. Knijnenburg. Information Disclosure Profiles for Segmentation and Recommendation. In SOUPS2014 Workshop on Privacy Personas and Segmentation, Menlo Park, CA, 2014.Google Scholar

  • [27] B. P. Knijnenburg. A user-tailored approach to privacy decision support. Ph.D. Thesis, University of California, Irvine, Irvine, CA, 2015.Google Scholar

  • [28] B. P. Knijnenburg, A. Kobsa, and H. Jin. Dimensionality of information disclosure behavior. International Journal of Human-Computer Studies, 71(12):1144–1162, 2013.CrossrefGoogle Scholar

  • [29] S. Lederer, J. Mankoff, and A. K. Dey. Who wants to know what when? privacy preference determinants in ubiquitous computing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 724–725, Ft. Lauderdale, FL, 2003. ACM Press.Google Scholar

  • [30] P. G. Leon, A. Kobsa, and C. Nguyen. Contextual Determinants for Users’ Acceptance of Personal Data Processing: A Multinational Analysis. Technical Report UCI-ISR-16-15, Institute for Software Research, University of California, Irvine, December 2016.Google Scholar

  • [31] S. J. Milberg, S. J. Burke, H. J. Smith, and E. A. Kallman. Values, Personal Information Privacy, and Regulatory Approaches. Commun. ACM, 38(12):65–74, Dec. 1995.CrossrefGoogle Scholar

  • [32] S. J. Milberg, H. J. Smith, and S. J. Burke. Information Privacy: Corporate Management and National Regulation. Organization Science, 11(1):35–57, Feb. 2000.CrossrefGoogle Scholar

  • [33] C. L. Miltgen and D. Peyrat-Guillard. Cultural and generational influences on privacy concerns: a qualitative study in seven European countries. Eur J Inf Syst, 23(2):103–125, Mar. 2014.CrossrefGoogle Scholar

  • [34] H. Nissenbaum. Privacy in Context: Technology, Policy, and the Integrity of Social Life. Stanford University Press, Nov. 2009.Google Scholar

  • [35] P. A. Norberg and D. R. Horne. Privacy attitudes and privacy-related behavior. Psychology and Marketing, 24(10):829–847, 2007.CrossrefGoogle Scholar

  • [36] J. Phelps, G. Nowak, and E. Ferrell. Privacy Concerns and Consumer Willingness to Provide Personal Information. Journal of Public Policy & Marketing, 19(1):27–41, Mar. 2000.CrossrefGoogle Scholar

  • [37] S. Piramuthu. Input data for decision trees. Expert Systems with Applications, 34(2):1220–1226, Feb. 2008.Google Scholar

  • [38] C. Posey, P. B. Lowry, T. L. Roberts, and T. S. Ellis. Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who use online communities. Eur J Inf Syst, 19(2):181–195, Apr. 2010.CrossrefGoogle Scholar

  • [39] J. R. Quinlan. C4.5: Programs for Machine Learning. Elsevier, June 2014.Google Scholar

  • [40] S. Rodgers and M. A. Harris. Gender and E-Commerce: An Exploratory Study. Journal of Advertising Research, 43(03):322–329, Sept. 2003.CrossrefGoogle Scholar

  • [41] S. H. Schwartz. Are There Universal Aspects in the Structure and Contents of Human Values? Journal of Social Issues, 50(4):19–45, Jan. 1994.CrossrefGoogle Scholar

  • [42] K. B. Sheehan and M. G. Hoy. Dimensions of Privacy Concern Among Online Consumers. Journal of Public Policy & Marketing, 19(1):62–73, Mar. 2000.CrossrefGoogle Scholar

  • [43] H. J. Smith, S. J. Milberg, and S. J. Burke. Information Privacy: Measuring Individuals’ Concerns about Organizational Practices. MIS Quarterly, 20(2):167–196, June 1996.CrossrefGoogle Scholar

  • [44] P. B. Smith, S. Dugan, and F. Trompenaars. National Culture and the Values of Organizational Employees A Dimensional Analysis Across 43 Nations. Journal of Cross-Cultural Psychology, 27(2):231–264, Mar. 1996.Google Scholar

  • [45] J.-B. E. Steenkamp and I. Geyskens. How Country Characteristics Affect the Perceived Value of Web Sites. Journal of Marketing, 70(3):136–150, July 2006.CrossrefGoogle Scholar

  • [46] E. Toch, J. Cranshaw, P. H. Drielsma, J. Y. Tsai, P. G. Kelley, J. Springfield, L. Cranor, J. Hong, and N. Sadeh. Empirical models of privacy in location sharing. In Proceedings of the 12th ACM international conference on Ubiquitous computing, pages 129–138, Copenhagen, Denmark, 2010. ACM Press.Google Scholar

  • [47] H. C. Triandis. Individualism & collectivism, volume xv of New directions in social psychology. Westview Press, Boulder, CO, US, 1995.Google Scholar

  • [48] J. A. Vandello and D. Cohen. Patterns of individualism and collectivism across the United States. Journal of Personality and Social Psychology, 77(2):279–292, Aug. 1999.CrossrefGoogle Scholar

  • [49] P. Wang and L. A. Petrison. Direct marketing activities and personal privacy. A consumer survey. J. Direct Mark., 7(1):7–19, Dec. 1993.Google Scholar

  • [50] J. Xie, B. P. Knijnenburg, and H. Jin. Location Sharing Privacy Preference: Analysis and Personalized Recommendation. In Proceedings of the 19th International Conference on Intelligent User Interfaces, IUI ’14, pages 189–198, New York, NY, USA, 2014. ACM.Google Scholar

  • [51] Z. Yang, R. T. Peterson, and S. Cai. Services quality dimensions of Internet retailing: an exploratory analysis. Journal of Services Marketing, 17(7):685–700, Dec. 2003.CrossrefGoogle Scholar

  • [52] L. Zhang, J. Zhu, and Q. Liu. A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5):1902–1911, Sept. 2012.CrossrefGoogle Scholar

About the article

Received: 2016-08-31

Revised: 2016-11-30

Accepted: 2016-12-01

Published Online: 2017-04-04

Published in Print: 2017-04-01


Citation Information: Proceedings on Privacy Enhancing Technologies, ISSN (Online) 2299-0984, DOI: https://doi.org/10.1515/popets-2017-0019.

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© 2017 Yao Li et al., published by De Gruyter Open. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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