Assessing risks in online information sharing

Leif Azzopardi*, Emma Nicol, Jo Briggs, Wendy Moncur, Burkhard Schafer, Callum Nash, melissa duheric

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

The volume of personal information, accessible online about indi- viduals is unprecedented. Such information may be pieced together by others, to create a more detailed picture of a person, exposing them to potential harms, such as employment loss, unwanted at- tention, fraud, and more. In this context, relevance is contextual, situational and dependent, based on the risk it poses to the subject. In this paper, we explore this risk-based notion of relevance with the following questions in mind: How well can individuals identify and judge risks associated with online personal information? And, to what extent does this change individuals’ awareness of their own information-sharing practices?
In a user study, 243 participants were tasked with browsing fabri- cated online profiles to identify potential “risky” posts in one of two scenarios regarding either Identity Theft or Reputational Damage. On average, 72.2% of participants identified at least one risky post. However, only 23.7% identified dependent posts that taken together substantially increased the risk of identity theft or reputational dam- age. Further, participants reported greater awareness of potential risks that could arise from their own, and/or their friends’ informa- tion sharing practices. Our findings suggest that when relevance is dependent on combining separate pieces of information to reveal risk, participants struggle to identify these cumulative revelations. Moreover, our study highlights that when participants perform tasks that feature personal information, it can lead to positive and negative experiences; changing their perceptions and increasing awareness about their own information behaviours while also rais- ing concerns around their routine online practices.
Original languageEnglish
Title of host publicationACM CHIIR 2025
Subtitle of host publicationACM SIGIR Conference on Human Information Interaction And Retrieval
PublisherAssociation for Computing Machinery (ACM)
Number of pages10
ISBN (Electronic)979-8-4007-1290
DOIs
Publication statusAccepted/In press - 19 Dec 2024
EventACM CHIIR 2025: ACM SIGIR Conference on Human Information Interaction And Retrieval - Melbourne, Australia
Duration: 24 Mar 202528 Mar 2025
https://chiir2025.github.io

Conference

ConferenceACM CHIIR 2025
Abbreviated titleCHIIR 2025
Country/TerritoryAustralia
CityMelbourne
Period24/03/2528/03/25
Internet address

Funding

This work was part of the Cumulative Revelations of Personal Data project, which was supported by the UKRI’s EPSRC with grant numbers: EP/R033889/1, EP/R033889/2, EP/R033897/1, EP/R033854/1, and EP/R033870/1

Keywords

  • Information Sharing;
  • Information Risk
  • Evaluating Personal Information
  • Scenario Prototype Tool

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