Understanding the Impact of Privacy Calculus on Social Media Self-disclosure: A Conceptual Framework and Research Proposition
Keywords:
privacy calculus, self-disclosure, social mediaAbstract
Most social media platforms are encouraging users to disclose as much as possible due to self-disclosure on social media being the key value to the success of these platforms. Yet, when privacy breaches grow more and more frequent, individuals tend to do privacy calculations before self-disclosure. There are many factors that impact user self-disclosure behavior. On the basis of the privacy calculus theory, we developed a conceptual model to investigate the impact of perceived benefits and perceived risks on social media self-disclosure and proposed related research propositions, with the aim of revealing the impact mechanism of privacy calculus on social media self-disclosure and examining the effects of trust in platform, information sensitivity, privacy settings, and government regulation on user privacy calculus. Theoretically, the contribution of this study is the development of a privacy calculus model that reveals the user's privacy decision-making process. In terms of practical significance, this study may assist social media providers in better understanding users' privacy choices, decreasing privacy concerns, and enhancing user self-disclosure.
References
Abramova, O., Wagner, A., Krasnova, H., & Buxmann, P. (2017). Understanding self-disclosure on social networking sites-a literature review.
Abu-Shanab, E., & Khasawneh, R. T. (2013). E-Government and Social Media Sites- The Role and Impact. World Journal of Computer Application and Technology 1(1), 10-17. https://doi.org/10.13189/wjcat.2013.010103
Anderson, J., Rainie, L., & Vogels, E. A. (2021). Experts Say the ‘New Normal’ in 2025 Will Be Far More Tech-Driven, Presenting More Big Challenges https://www.pewresearch.org/internet/2021/02/18/experts-say-the-new-normal-in-2025-will-be-far-more-tech-driven-presenting-more-big-challenges/
Apuke, O. D., & Omar, B. (2021). What drives news sharing behaviour among social media users? A relational communication model from the social capital perspective. International Sociology, 36(3), 339-361. https://doi.org/10.1177/0268580920961323
Arpaci, I. (2020). What drives students' online self-disclosure behaviour on social media? A hybrid SEM and artificial intelligence approach. Int. J. Mob. Commun., 18(2), 229-241.
Babbie, E. R. (2020). The practice of social research. Cengage learning.
Beldad, A., De Jong, M., & Steehouder, M. (2011). I trust not therefore it must be risky: Determinants of the perceived risks of disclosing personal data for e-government transactions. Computers in Human Behavior, 27(6), 2233-2242.
Bol, N., Dienlin, T., Kruikemeier, S., Sax, M., Boerman, S. C., Strycharz, J., . . . De Vreese, C. H. (2018). Understanding the effects of personalization as a privacy calculus: Analyzing self-disclosure across health, news, and commerce contexts. Journal of Computer-Mediated Communication, 23(6), 370-388.
Cain, J. A., & Imre, I. (2021). Everybody wants some: Collection and control of personal information, privacy concerns, and social media use. New Media & Society, 0(0). https://doi.org/https://doi.org/10.1177/14614448211000327
Chen, H.-T. (2018). Revisiting the privacy paradox on social media with an extended privacy calculus model: The effect of privacy concerns, privacy self-efficacy, and social capital on privacy management. American behavioral scientist, 62(10), 1392-1412.
Cheung, C., Lee, Z. W., & Chan, T. K. (2014). Self-disclosure in social networking sites: the role of perceived cost, perceived benefits and social influence. Internet Research.
Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organization science, 10(1), 104-115.
Dinev, T., Bellotto, M., Hart, P., Russo, V., Serra, I., & Colautti, C. (2006). Privacy calculus model in e-commerce–a study of Italy and the United States. European Journal of Information Systems, 15(4), 389-402.
Dinev, T., & Hart, P. (2006). An Extended Privacy Calculus Model for E-Commerce Transactions. Information Systems Research, 17(1), 61-80. https://doi.org/10.1287/isre.1060.0080
Dinev, T., Hart, P., & Mullen, M. R. (2008). Internet privacy concerns and beliefs about government surveillance–An empirical investigation. The Journal of Strategic Information Systems, 17(3), 214-233.
Dinev, T., Xu, H., Smith, J. H., & Hart, P. (2013). Information privacy and correlates: an empirical attempt to bridge and distinguish privacy-related concepts. European Journal of Information Systems, 22(3), 295-316.
Dwyer, C., Hiltz, S., & Passerini, K. (2007). Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace. AMCIS 2007 proceedings, 339.
Ellison, N. B., Vitak, J., Steinfield, C., Gray, R., & Lampe, C. (2011). Negotiating privacy concerns and social capital needs in a social media environment. In Privacy online (pp. 19-32). Springer.
Etikan, I., Alkassim, R., & Abubakar, S. (2016). Comparision of snowball sampling and sequential sampling technique. Biometrics and Biostatistics International Journal, 3(1), 55.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International Journal of Information Management, 35(2), 137-144.
Gefen, D., Rao, V. S., & Tractinsky, N. (2003). The Conceptualization of Trust, Risk and Their Relationship in Electronic Commerce: The Need for Clarifications. HICSS,
Gong, X., Zhang, K. Z., Chen, C., Cheung, C. M., & Lee, M. K. (2019). What drives self-disclosure in mobile payment applications? The effect of privacy assurance approaches, network externality, and technology complementarity. Information Technology & People.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
Hassandoust, F., Akhlaghpour, S., & Johnston, A. C. (2020). Individuals’ privacy concerns and adoption of contact tracing mobile applications in a pandemic: A situational privacy calculus perspective. Journal of the American Medical Informatics Association, 28(3), 463-471. https://doi.org/10.1093/jamia/ocaa240
Hughes-Roberts, T. (2013, 8-14 Sept. 2013). Privacy and Social Networks: Is Concern a Valid Indicator of Intention and Behaviour? 2013 International Conference on Social Computing,
Jozani, M., Ayaburi, E., Ko, M., & Choo, K.-K. R. (2020). Privacy concerns and benefits of engagement with social media-enabled apps: A privacy calculus perspective. Computers in Human Behavior, 107, 106260. https://doi.org/https://doi.org/10.1016/j.chb.2020.106260
Kang, J.-W., & Namkung, Y. (2019). The role of personalization on continuance intention in food service mobile apps: A privacy calculus perspective. International Journal of Contemporary Hospitality Management.
Kemp, S. (2023). DIGITAL 2023: GLOBAL OVERVIEW REPORT https://datareportal.com/reports/digital-2023-global-overview-report?utm_source=DataReportal&utm_medium=Country_Article_Hyperlink&utm_campaign=Digital_2023&utm_term=China&utm_content=Global_Overview_Link
Kim, D., Park, K., Park, Y., & Ahn, J.-H. (2019). Willingness to provide personal information: Perspective of privacy calculus in IoT services. Computers in Human Behavior, 92, 273-281. https://doi.org/https://doi.org/10.1016/j.chb.2018.11.022
Krasnova, H., Spiekermann, S., Koroleva, K., & Hildebrand, T. (2010). Online social networks: Why we disclose. Journal of Information Technology, 25(2), 109-125.
Kreiner, H., & Levi-Belz, Y. (2019). Self-disclosure here and now: combining retrospective perceived assessment with dynamic behavioral measures. Frontiers in psychology, 10, 558.
Kroll, T., & Stieglitz, S. (2021). Digital nudging and privacy: improving decisions about self-disclosure in social networks. Behaviour & Information Technology, 40(1), 1-19. https://doi.org/10.1080/0144929X.2019.1584644
Kulkarni, S. (2022). Regulation of reviews and product ratings: A tool for consumer trust? Regulation, 20(1), 199-198.
Kumar, A., & Semetko, H. A. (2018). Peace communication in cross-border media flows. Journal of Communication, 68(3), 612-635.
Lasprogata, G., & King, N. J. (2004). Regulation of electronic employee monitoring: Identifying fundamental principles of employee privacy through a comparative study of data privacy legislation in the European Union, United States and Canada. Stan. Tech. L. Rev., 4.
Lee, C. B., Io, H. N., & Tang, H. (2022). Sentiments and perceptions after a privacy breach incident. Cogent Business & Management, 9(1), 2050018. https://doi.org/10.1080/23311975.2022.2050018
Li, H., Sarathy, R., & Xu, H. (2010). Understanding situational online information disclosure as a privacy calculus. Journal of Computer Information Systems, 51(1), 62-71.
Li, H., Sarathy, R., & Xu, H. (2011). The role of affect and cognition on online consumers' decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434-445.
Li, H., Wu, J., Gao, Y., & Shi, Y. (2016). Examining individuals’ adoption of healthcare wearable devices: An empirical study from privacy calculus perspective. International journal of medical informatics, 88, 8-17.
Li, J., & Wu, J. (2022). Study on the Influence Mechanism of the Third-Person Effect(TPE) on Privacy Protection Behavior: Findings from PLS and fsQCA [第三人效应对个体隐私保护行为的影响机制研究——来自 PLS 与 fsQCA 的研究发现]. Information Research, 294(4). https://doi.org/10.3969/j.issn.1005-8095.2022.04.004
Liu, D., & Brown, B. B. (2014). Self-disclosure on social networking sites, positive feedback, and social capital among Chinese college students. Computers in Human Behavior, 38, 213-219. https://doi.org/https://doi.org/10.1016/j.chb.2014.06.003
Liu, Z., Shan, J., Bonazzi, R., & Pigneur, Y. (2014, 6-9 Jan. 2014). Privacy as a Tradeoff: Introducing the Notion of Privacy Calculus for Context-Aware Mobile Applications. 2014 47th Hawaii International Conference on System Sciences,
Lo, J., & Riemenschneider, C. (2010). An examination of privacy concerns and trust entities in determining willingness to disclose personal information on a social networking site.
Lutz, C., Hoffmann, C. P., Bucher, E., & Fieseler, C. (2018). The role of privacy concerns in the sharing economy. Information, Communication & Society, 21(10), 1472-1492. https://doi.org/10.1080/1369118X.2017.1339726
Ma, X., Qin, Y., Chen, Z., & Cho, H. (2021). Perceived ephemerality, privacy calculus, and the privacy settings of an ephemeral social media site. Computers in Human Behavior, 124. https://doi.org/10.1016/j.chb.2021.106928
Malhotra, N. K., Kim, S. S., & Agarwal, J. (2004). Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4), 336-355.
Maqableh, M., Hmoud, H. Y., Jaradat, M., & Masa'deh, R. (2021). Integrating an information systems success model with perceived privacy, perceived security, and trust: the moderating role of Facebook addiction. Heliyon, 7(9), e07899. https://doi.org/10.1016/j.heliyon.2021.e07899
Martin, K. D., Borah, A., & Palmatier, R. W. (2017). Data privacy: Effects on customer and firm performance. Journal of marketing, 81(1), 36-58.
Martin, K. E. (2013). Transaction costs, privacy, and trust: The laudable goals and ultimate failure of notice and choice to respect privacy online. First Monday, 18(12-2).
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information Systems Research, 13(3), 334-359.
Mekovec, R. (2010). Online privacy: overview and preliminary research. Journal of information and organizational sciences, 34(2), 195-209.
Merten, L. (2021). Block, hide or follow—personal news curation practices on social media. Digital Journalism, 9(8), 1018-1039.
Metzger, M. J. (2004). Privacy, trust, and disclosure: Exploring barriers to electronic commerce. Journal of Computer-Mediated Communication, 9(4), JCMC942.
Murphy, R. S. (2017). Property rights in personal information: An economic defense of privacy. In Privacy (pp. 43-79). Routledge.
Naous, D., Kulkarni, V., Legner, C., & Garbinato, B. (2019). Information Disclosure in Location-based Services: An Extended Privacy Calculus Model. ICIS,
Nardi, P. M. (2018). Doing Survey Research: A Guide to Quantitative Methods (4th ed.). Routledge. https://doi.org/https://doi.org/10.4324/9781315172231
Parker, H. J., & Flowerday, S. (2021). Understanding the disclosure of personal data online. Information & Computer Security, 29(3), 413-434. https://doi.org/10.1108/ICS-10-2020-0168
Proton. (2022). US data protection: Online habits and data breaches https://protonvpn.com/blog/us-data-protection-habits/
Santos, M., & Faure, A. (2018). Affordance is power: Contradictions between communicational and technical dimensions of WhatsApp’s end-to-end encryption. Social Media+ Society, 4(3), 2056305118795876.
Sarathy, R., & Robertson, C. J. (2003). Strategic and ethical considerations in managing digital privacy. Journal of Business Ethics, 46(2), 111-126.
Shane-Simpson, C., Manago, A., Gaggi, N., & Gillespie-Lynch, K. (2018). Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital. Computers in Human Behavior, 86, 276-288. https://doi.org/https://doi.org/10.1016/j.chb.2018.04.041
Sharif, A., Soroya, S. H., Ahmad, S., & Mahmood, K. (2021). Antecedents of self-disclosure on social networking sites (snss): A study of facebook users. Sustainability, 13(3), 1220.
Sun, Y., Wang, N., Shen, X.-L., & Zhang, J. X. (2015). Location information disclosure in location-based social network services: Privacy calculus, benefit structure, and gender differences. Computers in Human Behavior, 52, 278-292. https://doi.org/https://doi.org/10.1016/j.chb.2015.06.006
Tang, Z., Hu, Y., & Smith, M. D. (2008). Gaining trust through online privacy protection: Self-regulation, mandatory standards, or caveat emptor. Journal of Management Information Systems, 24(4), 153-173.
Tsay-Vogel, M., Shanahan, J., & Signorielli, N. (2018). Social media cultivating perceptions of privacy: A 5-year analysis of privacy attitudes and self-disclosure behaviors among Facebook users. New Media & Society, 20(1), 141-161. https://doi.org/10.1177/1461444816660731
Tucker, C. E. (2014). Social networks, personalized advertising, and privacy controls. Journal of marketing research, 51(5), 546-562.
Wang, L., Hu, H.-H., Yan, J., & Mei, M. Q. (2020). Privacy calculus or heuristic cues? The dual process of privacy decision making on Chinese social media. Journal of Enterprise Information Management, 33(2), 353-380. https://doi.org/10.1108/JEIM-05-2019-0121
Wang, S.-C., & Wu, J.-H. (2014). Proactive privacy practices in transition: Toward ubiquitous services. Information & Management, 51(1), 93-103. https://doi.org/https://doi.org/10.1016/j.im.2013.09.005
Weible, R. J. (1993). Privacy and data: An empirical study of the influence of types of data and situational context upon privacy perceptions. Mississippi State University.
Whiting, A., & Williams, D. (2013). Why people use social media: a uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362-369. https://doi.org/10.1108/QMR-06-2013-0041
Widjaja, A. E., Chen, J. V., Sukoco, B. M., & Ha, Q.-A. (2019). Understanding users' willingness to put their personal information on the personal cloud-based storage applications: An empirical study. Computers in Human Behavior, 91, 167-185.
Worthy, M., Gary, A. L., & Kahn, G. M. (1969). Self-disclosure as an exchange process. Journal of personality and social psychology, 13(1), 59-63. https://doi.org/10.1037/h0027990
Wu, K.-W., Huang, S. Y., Yen, D. C., & Popova, I. (2012). The effect of online privacy policy on consumer privacy concern and trust. Computers in Human Behavior, 28(3), 889-897.
Xu, H., Dinev, T., Smith, J., & Hart, P. (2011). Information privacy concerns: Linking individual perceptions with institutional privacy assurances. Journal of the Association for Information Systems, 12(12), 1.
Xu, H., Gupta, S., Rosson, M. B., & Carroll, J. M. (2009). Effectiveness of Privacy Assurance Approaches in Location-Based Services: A Study of India and the United States. 2009 Eighth International Conference on Mobile Business,
Xu, H., Teo, H.-H., Tan, B. C. Y., & Agarwal, R. (2014). The Role of Push-Pull Technology in Privacy Calculus: The Case of Location-Based Services. Journal of Management Information Systems, 26(3), 135-174. https://doi.org/10.2753/mis0742-1222260305
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Jogjakarta Communication Conference (JCC)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.