DIPP: Diffusion of Privacy Preferences in Online Social Networks

Albert Mwanjesa*, Onuralp Ulusoy, Pınar Yolum

*Corresponding author for this work

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

Abstract

Ensuring the privacy of users is a key component in various computer systems such as online social networks, where users often share content, possibly intended only for a certain audience but not others. The content users choose to share may affect others and may even conflict with their privacy preferences. More interestingly, individuals sharing behaviour can change over time, which indicates that privacy preferences of individuals affect others and spread throughout the network. We study the spreading of privacy preferences in online social networks with information diffusion models. Using multi-agent simulations, we show the dynamics of the spread and study the factors (e.g., trust) that influence the spread.

Original languageEnglish
Title of host publicationAdvances in Social Simulation - Proceedings of the 16th Social Simulation Conference
EditorsMarcin Czupryna, Bogumił Kamiński
PublisherSpringer
Pages29-40
Number of pages12
ISBN (Print)9783030928421
DOIs
Publication statusPublished - 2022
Event16th Social Simulation Conference, SSC 2021 - Kraków, Poland
Duration: 20 Sept 202124 Sept 2021

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Conference

Conference16th Social Simulation Conference, SSC 2021
Country/TerritoryPoland
CityKraków
Period20/09/2124/09/21

Keywords

  • Diffusion
  • Multi-agent systems
  • Privacy

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