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 proceedingConference contributionScientificpeer-review

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 languageEnglish
Title of host publicationComputational Science - ICCS 2022, 22nd International Conference, Proceedings
EditorsDerek Groen, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Peter M.A. Sloot, Maciej Paszynski, Jack J. Dongarra
Pages651-666
Number of pages16
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Computational Science - London, United Kingdom
Duration: 21 Jun 202223 Jun 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13350 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Science
Abbreviated titleICCS
Country/TerritoryUnited Kingdom
CityLondon
Period21/06/202223/06/2022

Keywords

  • Digital platforms
  • Privacy
  • Privacy paradox
  • Social media
  • System dynamics

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