Privacy Paradox in Social Media: A System Dynamics Analysis

Ektor Arzoglou; Yki Kortesniemi; Sampsa Ruutu; Tommi Elo

doi:10.1007/978-3-031-08751-6_47

Privacy Paradox in Social Media: A System Dynamics Analysis

Ektor Arzoglou^*, Yki Kortesniemi, Sampsa Ruutu, Tommi Elo

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

7 Downloads (Pure)

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.

Original language	English
Title of host publication	Computational Science - ICCS 2022, 22nd International Conference, Proceedings
Editors	Derek Groen, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Peter M.A. Sloot, Maciej Paszynski, Jack J. Dongarra
Publisher	Springer
Pages	651-666
Number of pages	16
ISBN (Print)	9783031087509
DOIs	https://doi.org/10.1007/978-3-031-08751-6_47
Publication status	Published - 2022
MoE publication type	A4 Conference publication
Event	International Conference on Computational Science - London, United Kingdom Duration: 21 Jun 2022 → 23 Jun 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13350 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computational Science
Abbreviated title	ICCS
Country/Territory	United Kingdom
City	London
Period	21/06/2022 → 23/06/2022

Keywords

Digital platforms
Privacy
Privacy paradox
Social media
System dynamics

Access to Document

10.1007/978-3-031-08751-6_47

978-3-031-08751-6_47Accepted author manuscript, 1.1 MB

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Cite this

Arzoglou, E., Kortesniemi, Y., Ruutu, S., & Elo, T. (2022). Privacy Paradox in Social Media: A System Dynamics Analysis. In D. Groen, C. de Mulatier, V. V. Krzhizhanovskaya, P. M. A. Sloot, M. Paszynski, & J. J. Dongarra (Eds.), Computational Science - ICCS 2022, 22nd International Conference, Proceedings (pp. 651-666). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13350 LNCS). Springer. https://doi.org/10.1007/978-3-031-08751-6_47

Arzoglou, Ektor ; Kortesniemi, Yki ; Ruutu, Sampsa et al. / Privacy Paradox in Social Media : A System Dynamics Analysis. Computational Science - ICCS 2022, 22nd International Conference, Proceedings. editor / Derek Groen ; Clélia de Mulatier ; Valeria V. Krzhizhanovskaya ; Peter M.A. Sloot ; Maciej Paszynski ; Jack J. Dongarra. Springer, 2022. pp. 651-666 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Arzoglou, E , Kortesniemi, Y, Ruutu, S & Elo, T 2022, Privacy Paradox in Social Media: A System Dynamics Analysis. in D Groen, C de Mulatier, VV Krzhizhanovskaya, PMA Sloot, M Paszynski & JJ Dongarra (eds), Computational Science - ICCS 2022, 22nd International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13350 LNCS, Springer, pp. 651-666, International Conference on Computational Science, London, United Kingdom, 21/06/2022. https://doi.org/10.1007/978-3-031-08751-6_47

Privacy Paradox in Social Media: A System Dynamics Analysis. / Arzoglou, Ektor ; Kortesniemi, Yki; Ruutu, Sampsa et al.
Computational Science - ICCS 2022, 22nd International Conference, Proceedings. ed. / Derek Groen; Clélia de Mulatier; Valeria V. Krzhizhanovskaya; Peter M.A. Sloot; Maciej Paszynski; Jack J. Dongarra. Springer, 2022. p. 651-666 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13350 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Arzoglou E , Kortesniemi Y, Ruutu S, Elo T. Privacy Paradox in Social Media: A System Dynamics Analysis. In Groen D, de Mulatier C, Krzhizhanovskaya VV, Sloot PMA, Paszynski M, Dongarra JJ, editors, Computational Science - ICCS 2022, 22nd International Conference, Proceedings. Springer. 2022. p. 651-666. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-08751-6_47