Projects per year
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.
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 language | English |
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Title of host publication | ACM CHIIR 2025 |
Subtitle of host publication | ACM SIGIR Conference on Human Information Interaction And Retrieval |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 10 |
ISBN (Electronic) | 979-8-4007-1290 |
DOIs | |
Publication status | Accepted/In press - 19 Dec 2024 |
Event | ACM CHIIR 2025: ACM SIGIR Conference on Human Information Interaction And Retrieval - Melbourne, Australia Duration: 24 Mar 2025 → 28 Mar 2025 https://chiir2025.github.io |
Conference
Conference | ACM CHIIR 2025 |
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Abbreviated title | CHIIR 2025 |
Country/Territory | Australia |
City | Melbourne |
Period | 24/03/25 → 28/03/25 |
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
Fingerprint
Dive into the research topics of 'Assessing risks in online information sharing'. Together they form a unique fingerprint.Projects
- 2 Finished
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Cumulative Revelations of Personal Data (Wendy Moncur transfer)
Moncur, W. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
31/07/20 → 30/09/22
Project: Research
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Cumulative Revelations in Personal Data
Azzopardi, L. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/04/19 → 30/09/22
Project: Research
Activities
- 1 Invited talk
-
Assessing Risks in Online Information Sharing
Nicol, E. (Speaker)
26 Feb 2025Activity: Talk or presentation types › Invited talk