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Ethical and social challenges with developing automated methods to detect and warn potential victims of Mass-Marketing Fraud (MMF)

Whitty, Monica, Edwards, Matthew, Levi, Michael, Peersman, Claudia, Rashid, Awais, Sasse, Angela, Sorell, Tom and Stringhini, Gianluca 2017. Ethical and social challenges with developing automated methods to detect and warn potential victims of Mass-Marketing Fraud (MMF). Presented at: 26th International Conference on World Wide Web, Perth, Australia, 3-7 April 2017. WWW '17: Companion Proceedings of the 26th International Conference on World Wide Web Companion. Association for Computing Machinery, p. 1311. 10.1145/3041021.3053891

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Abstract

Mass-marketing frauds (MMFs) are on the increase. Given the amount of monies lost and the psychological impact of MMFs there is an urgent need to develop new and effective methods to prevent more of these crimes. This paper reports the early planning of automated methods our interdisciplinary team are developing to prevent and detect MMF. Importantly, the paper presents the ethical and social constraints involved in such a model and suggests concerns others might also consider when developing automated systems.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Social Sciences (Includes Criminology and Education)
Publisher: Association for Computing Machinery
ISBN: 9781450349147
Related URLs:
Date of First Compliant Deposit: 8 March 2018
Date of Acceptance: 3 April 2017
Last Modified: 16 May 2018 16:08
URI: http://orca.cf.ac.uk/id/eprint/109729

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