Are Taylor's Posts Risky? Evaluating Cumulative Revelations in Online Personal Data: A persona-based tool for evaluating awareness of online risks and harms

Azzopardi, Leif, Briggs, Jo, Duheric, Melissa, Nash, Callum, Nicol, Emma, Moncur, Wendy and Schafer, Burkhard (2022) Are Taylor's Posts Risky? Evaluating Cumulative Revelations in Online Personal Data: A persona-based tool for evaluating awareness of online risks and harms. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval: SIGIR ’22. ACM, New York, US. (In Press)

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Abstract

Searching for people online is a common search task that most of us have performed at some point or other. With so much information about people available online it is often amazing what one can find out about someone else – especially when information taken from different sources is pieced together to create a more detailed picture of the individual, and then used to make inferences about them (leading to Cumulative Revelations). As such, the relevance of one piece of information is often “conditional and dependent” on other pieces of information found. This creates interesting and novel challenges in evaluating information “relevance” when searching personal profiles, posts and related information about an individual, as well as the potential “risks” that can arise from such revelations. In this demonstration paper, we present a tool designed to investigate how people assess and judge the relevance and potential risks of small, apparently innocuous pieces of information associated with fictitious personas, such as “Taylor Addison”, when searching and browsing online profiles and social media. The demonstrator also comprises a cyber safety tool, which aims to provide education and raise awareness of the potential risks of cumulative revelations. It does so by engaging participants in different scenarios where the relevance of individual information items depends on the searcher and their particular “search” motivation.

Item Type: Book Section
Additional Information: Funding information: Cumulative Revelations of Personal Data. This project is supported by the UKRI’sEPSRC under Grant Numbers : EP/R033889/1, EP/R033889/2, EP/R033897/1, EP/R033854/1, EP/R033870/1. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, sigir2022; Madrid, Spain: 11-15 July 2022
Uncontrolled Keywords: Information Revelation, Digital Traces, Data Self, Privacy, Cyber Safety, Training Tool
Subjects: G500 Information Systems
W200 Design studies
Department: Faculties > Arts, Design and Social Sciences > Design
Related URLs:
Depositing User: John Coen
Date Deposited: 21 Jun 2022 10:04
Last Modified: 21 Jun 2022 10:15
URI: http://nrl.northumbria.ac.uk/id/eprint/49367

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