Alternative Platforms and Privacy Paradox: A System Dynamics Analysis

Ektor Arzoglou*, Yki Kortesniemi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

Abstract

The term ‘privacy paradox’ refers to the apparent inconsistency between privacy concerns and actual behaviour that also often leads to the dominance of privacy-careless over privacy-respecting platforms. One of the most important explanations for this phenomenon is based on the concept of social norm, which refers to the influence that an individual’s social environment can have on their decisions to accept or reject a specific platform. However, the interdependencies between social norm dynamics and platform adoption have received little attention so far. To overcome this limitation, this article presents a system dynamics simulation model that considers the concept of social norm, shaped by users with diverse privacy concerns, during the adoption process of two alternative social media platforms and identifies the types of situations in which the privacy paradox emerges. The results show a bidirectional minority rule, where (1) the least concerned minority can hinder the more concerned majority from discarding a privacy-careless platform but also (2) the most concerned minority can induce the less concerned majority to adopt a privacy-respecting platform. Both (1) and, to a lesser extent, (2) are types of situations that reflect the privacy paradox.

Original languageEnglish
Title of host publicationComputational Science – ICCS 2023: 23rd International Conference, Proceedings
EditorsJiří Mikyška, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Peter M.A. Sloot, Maciej Paszynski, Jack J. Dongarra
PublisherSpringer
Pages163-176
Number of pages14
ISBN (Electronic)978-3-031-35995-8
ISBN (Print)978-3-031-35994-1
DOIs
Publication statusPublished - 2023
MoE publication typeA4 Conference publication
EventInternational Conference on Computational Science - Prague, Czech Republic
Duration: 3 Jul 20235 Jul 2023
Conference number: 23

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14073 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Computational Science
Abbreviated titleICCS
Country/TerritoryCzech Republic
CityPrague
Period03/07/202305/07/2023

Keywords

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

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