Abstract
The term ‘privacy paradox’ refers to the apparent inconsistency between people’s concerns about their privacy and their actual privacy behaviour. Although several possible explanations for this phenomenon have been provided so far, these assume that (1) all people share the same privacy concerns and (2) a snapshot at a given point in time is enough to explain the phenomenon. To overcome these limitations, this article presents a system dynamics simulation model that considers the diversity of privacy concerns during the process of social media adoption and identifies the types of situations in which the privacy paradox emerges. The results show that (1) the least concerned minority can induce the more concerned majority to adopt social media and (2) even the most concerned minority can be hindered by the less concerned majority from discarding social media. Both (1) and (2) are types of situations that reflect the privacy paradox.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Arzoglou, E., Kortesniemi, Y., Ruutu, S., Elo, T.: The role of privacy obstacles in privacy paradox: a system dynamics analysis (Submitted) (2022)
Barlas, Y.: Formal aspects of model validity and validation in system dynamics. Syst. Dyn. Rev. 12(3), 183–210 (1996)
Bass, F.M.: A new product growth for model consumer durables. Manage. Sci. 15(5), 215–227 (1969)
Brown, B.: Studying the internet experience. HP Laboratories Technical Report 49 (2001)
Casey, T.R., Töyli, J.: Dynamics of two-sided platform success and failure: an analysis of public wireless local area access. Technovation 32(12), 703–716 (2012)
Choi, H., Park, J., Jung, Y.: The role of privacy fatigue in online privacy behavior. Comput. Hum. Behav. 81, 42–51 (2018)
Dienlin, T., Trepte, S.: Is the privacy paradox a relic of the past? An in-depth analysis of privacy attitudes and privacy behaviors. Eur. J. Soc. Psychol. 45(3), 285–297 (2015)
van Dijck, J.: Facebook and the engineering of connectivity: a multi-layered approach to social media platforms. Convergence 19(2), 141–155 (2013)
Kokolakis, S.: Privacy attitudes and privacy behaviour: a review of current research on the privacy paradox phenomenon. Comput. Secur. 64, 122–134 (2017)
Rosenberg, R.S.: The Social Impact of Computers. Academic Press Inc., Cambridge (1992)
Ruutu, S., Casey, T., Kotovirta, V.: Development and competition of digital service platforms: a system dynamics approach. Technol. Forecast. Soc. Change 117, 119–130 (2017)
Statista: Special Eurobarometer 447 - Online Platforms (2016). https://www.statista.com/study/37575/social-networks-search-engines-and-online-marketplaces-in-the-eu-28/
Sterman, J.D.: Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill, New York (2000)
Westin, A.F.: Privacy and Freedom. Atheneum, Berlin (1967)
Westin, A.F.: Social and political dimensions of privacy. J. Soc. Issues 59(2), 431–453 (2003)
Acknowledgements
The authors would like to thank Pekka Nikander for his insightful comments.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Appendix: Model Equations and Parameter Values
Appendix: Model Equations and Parameter Values
The model equations and parameter values are shown in Table 3. In the equations, subscript w refers to the user group (p: Pragmatists, f: Fundamentalists, u: Unconcerned). The model includes formulations to ensure that users cannot be added or removed spontaneously (i.e. mass balance) and that stock variables stay non-negative. For clarity, these have been omitted from the equations shown in Table 3. For details of the formulations and to ensure the replicability of the simulation results, the simulation model Vensim file is openly available upon request.
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Arzoglou, E., Kortesniemi, Y., Ruutu, S., Elo, T. (2022). Privacy Paradox in Social Media: A System Dynamics Analysis. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13350. Springer, Cham. https://doi.org/10.1007/978-3-031-08751-6_47
Download citation
DOI: https://doi.org/10.1007/978-3-031-08751-6_47
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-08750-9
Online ISBN: 978-3-031-08751-6
eBook Packages: Computer ScienceComputer Science (R0)