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Supporting Human Decision-Making Online using Information Trustworthiness Metrics

Nurse, Jason R. C., Creese, Sadie, Goldsmith, Michael, Rahman, Syed S. (2013) Supporting Human Decision-Making Online using Information Trustworthiness Metrics. In: HAS 2013: Human Aspects of Information Security, Privacy, and Trust. . pp. 316-325. Springer ISBN 978-3-642-39344-0. E-ISBN 978-3-642-39345-7. (doi:10.1007/978-3-642-39345-7_33)

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http://dx.doi.org/10.1007/978-3-642-39345-7_33

Abstract

The vast amount of information available online places decision makers wishing to use this content in an advantageous but also very difficult position. The advantages stem from the volume of content from a variety of sources that is readily available; the difficulties arise because of the often unknown quality and trustworthiness of the information – is it fact, opinion or purely meant to deceive? In this paper we reflect on and extend current work on information trust and quality metrics which can be used to address this difficulty. Specifically, we propose new metrics as worthy of consideration and the new combinatorics required to take measurements of the various trust factors into a single score. These feed into our existing overarching policy-based approach that uses trustworthiness metrics to support decision-making online.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1007/978-3-642-39345-7_33
Uncontrolled keywords: information trustworthiness; information quality; metrics; human decision-making; open-source content; social-media; online risks
Subjects: Q Science
T Technology
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Security Group
Faculties > Sciences > School of Computing > Data Science
Depositing User: Jason Nurse
Date Deposited: 02 Jul 2018 15:56 UTC
Last Modified: 01 Aug 2019 10:43 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/67526 (The current URI for this page, for reference purposes)
Nurse, Jason R. C.: https://orcid.org/0000-0003-4118-1680
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