The Influence of Information Exposure on Teenagers’ Privacy Protection Behaviour under the Intelligent Recommendation System

Authors

  • Saiya Cheng

DOI:

https://doi.org/10.54097/481snk20

Keywords:

Information Exposure, Privacy Protection Behaviour, Intelligent Recommendation System, Privacy Risk Perception, Privacy Boundary Control, Awareness of Privacy Protection, Communication Privacy Management Theory

Abstract

This study focuses on the influence of information exposure under an intelligent recommendation system on teenagers’ privacy protection behaviour. By employing the Communication Privacy Management (CPM) theory, we examine how information exposure through intelligent recommendation systems influences teenagers’ attitudes and actions towards privacy. The results of this study emphasize the need for the CPM advocated by Petronio [1] and the role of various factors in influencing privacy protection behaviour. The study also explores teenagers’ privacy protection behaviours on social media. Through quantitative research, this study provides a perspective on the interaction among adolescents’ digital literacy, privacy issues and behavioural responses in the context of intelligent recommendation systems.

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References

[1] Petronio, S. (2002). Boundaries of Privacy: Dialectics of Disclosure. State University of New York Press, Albany, NY.

[2] Zaman, S., Alhazmi, K., Aseeri, M. A., Ahmed, M. R., Khan, R. T., Kaiser, M. S., & Mahmud, M. (2021). Security threats and artificial intelligence based countermeasures for internet of things networks: a comprehensive survey. Ieee Access, 9, 94668-94690.

[3] Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017). Fake news detection on social media: A data mining perspective. ACM SIGKDD explorations newsletter, 19(1), 22-36.

[4] Umamaheswari, D. D. (2024). Role of Artificial Intelligence in Marketing Strategies and Performance. Migration Letters, 21(S4), 1589-1599.

[5] Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE transactions on knowledge and data engineering, 17(6), 734-749.

[6] Phelps, J., Nowak, G., & Ferrell, E. (2000). Privacy concerns and consumer willingness to provide personal information. Journal of public policy & marketing, 19(1), 27-41.

[7] Deogracias A. Danah Boyd: It’s Complicated: The Social Lives of Networked Teens: Yale University Press, New Haven, Connecticut, 2014, pp. 296, ISBN 973-0-300-16631-6[J]. 2015.

[8] Moscardelli, Deborah M., and Richard Divine. "Adolescents' concern for privacy when using the Internet: An empirical analysis of predictors and relationships with privacy‐protecting behaviors." Family and Consumer Sciences Research Journal 35.3 (2007): 232-252.

[9] Naslund, J. A., Bondre, A., Torous, J., & Aschbrenner, K. A. (2020). Social media and mental health: benefits, risks, and opportunities for research and practice. Journal of technology in behavioral science, 5, 245-257.

[10] Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix factorization techniques for recommender systems. Computer, 42(8), 30-37.

[11] Wang, J., & Xie, J. (2023). Exploring the factors influencing users’ learning and sharing behavior on social media platforms. Library Hi Tech, 41(5), 1436-1455.

[12] Gibbs, J. L., Ellison, N. B., & Lai, C. H. (2011). First comes love, then comes Google: An investigation of uncertainty reduction strategies and self-disclosure in online dating. Communication Research, 38(1), 70-100.

[13] Boerman, S. C., Kruikemeier, S., & Zuiderveen Borgesius, F. J. (2017). Online behavioral advertising: A literature review and research agenda. Journal of Advertising, 46(3), 363-376.

[14] Baruh, L., Secinti, E., & Cemalcilar, Z. (2017). Online privacy concerns and privacy management: A meta-analytical review. Journal of Communication, 67(1), 26-53.

[15] Smit, E. G., Van Noort, G., & Voorveld, H. A. (2014). Understanding online behavioural advertising: User knowledge, privacy concerns and online coping behaviour in Europe. Computers in Human Behavior, 32, 15-22.

[16] Milne, G. R., Labrecque, L. I., & Cromer, C. (2009). Toward an understanding of the online consumer’s risky behavior and protection practices. Journal of Consumer Affairs, 43(3), 449-473.

[17] Andrews, J. C., Walker, K. L., & Kees, J. (2020). Children and online privacy protection: Empowerment from cognitive defense strategies. Journal of Public Policy & Marketing, 39(2), 205-219.

[18] Omar, B., & Dequan, W. (2020). Watch, share or create: The influence of personality traits and user motivation on TikTok mobile video usage. International Journal of Interactive Mobile Technologies, 14(4), 121-137. doi: 10.3991/IJIM.V14I04.12429

[19] Milne, G. R., Labrecque, L. I., & Cromer, C. (2009). Toward an understanding of the online consumer’s risky behavior and protection practices. Journal of Consumer Affairs, 43(3), 449-473.

[20] Indrawan, D., Yorman, Y., Stiadi, M., Hendayani, N., & Al-Amin, A. A. (2023). Revolutionizing social media marketing through AI and automation: an in-depth analysis of strategies, ethics, and future trends. International Journal of Humanities, Social Sciences and Business (INJOSS), 3(1), 22-45.

[21] Xu, H., Gupta, S., & Chen, W. (2022). Examining the impact of privacy education and awareness on protective behaviors: A quantitative analysis. Journal of Information Privacy and Security, 18(1).

[22] Wisniewski, P. J., Vitak, J., & Hartikainen, H. (2022). Privacy in adolescence. In Modern socio-technical perspectives on privacy (pp. 315-336). Cham: Springer International Publishing.

[23] Child, J., & Agyeman-Budu, E. A. (2010). Blogging privacy management rule development: The impact of self-monitoring skills, concern for appropriateness, and blogging frequency. Computer in Human Behavior, 26(6), 957-963.

[24] Martin, K. D., & Nissenbaum, H. (2020). Privacy as contextual integrity. Washington Law Review, 95(1), 463-506.

[25] Shin, D., & Valente, T. (2020). The effect of digital literacy on privacy concerns and behaviors. Telematics and Informatics, 50, 101396.

[26] Vespoli, G., Taddei, B., Imbimbo, E., et al. (2024). The concept of privacy in the digital world according to teenagers. Journal of Public Health (Berlin). https://doi.org/10.1007/s10389-024-02242-x

[27] Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010). Online social networks: Why we disclose. Journal of Information Technology, 25, 109-125.

[28] Spiekermann, S. (2007). Perceived control: Scales for privacy in ubiquitous computing. In Digital Privacy (pp. 289-304). Auerbach Publications.

[29] Garrett, R., & Wrench, A. (2008). Connections, pedagogy and alternative possibilities in primary physical education. Sport, Education and Society, 13(1), 39-60.

[30] Joinson, A. (1999). Social desirability, anonymity, and Internet-based questionnaires. Behavior Research Methods, Instruments, & Computers, 31(3), 433-438.

[31] Hantrais, L., Allin, P., Kritikos, M., Sogomonjan, M., Anand, P. B., Livingstone, S., ... & Innes, M. (2021). Covid-19 and the digital revolution. Contemporary Social Science, 16(2), 256-270.

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Published

27-12-2024

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