Nurse, Jason R. C., Goldsmith, Michael, Creese, Sadie, Lamberts, Koen (2015) Technology and information trust for supporting risky decisions based on social-media content. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing. . pp. 461-468. IEEE E-ISBN 978-1-5090-0154-5. (doi:10.1109/CIT/IUCC/DASC/PICOM.2015.66) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:67503)
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Official URL: https://doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.6... |
Abstract
As the availability of open-source information online increases, there are growing concerns regarding its reliability. This has led to renewed emphasis in quality-and trust-metrics research within the social computing space, to assist individuals in determining how reliable pieces of information actually might be. In this article, we take a step back to rigorously investigate the utility of trustworthiness information support provided via computer and information technologies. Our research aim is to assess whether people can cognitively combine trustworthiness advice and evaluative content to make decisions, particularly in a risk-related context. Moreover, we analyse individuals' ability to sensitise their decisions given that information and the criticality of a set task. The results suggest that individuals can perform well at both these tasks even when there are only subtle variations in information and advice. This empirically validated contribution provides a basis for a commonly-made assumption, and reinforces humans as efficient and effective information processors. The study also highlighted several social computing factors that may affect such decisions including quantity of content, existing trust relationships and reasoning behind trustworthiness advice.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1109/CIT/IUCC/DASC/PICOM.2015.66 |
Subjects: |
Q Science T Technology |
Divisions: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing Divisions > Division of Human and Social Sciences > School of Psychology |
Depositing User: | Jason Nurse |
Date Deposited: | 02 Jul 2018 17:11 UTC |
Last Modified: | 05 Nov 2024 11:07 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/67503 (The current URI for this page, for reference purposes) |
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