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

Monica Whitty, Matthew Edwards, Michael Levi, Claudia Peersman, Awais Rashid, Angela Sasse, Tom Sorell, Gianluca Stringhini

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on World Wide Web
EditorsEugene Agichtein, Evgeniy Gabrilovich
Place of PublicationGeneva Switzerland
PublisherInternational World Wide Web Conferences Steering Committee
Pages1311-1314
Number of pages4
ISBN (Electronic)9781450349147
DOIs
Publication statusPublished - 2017
Externally publishedYes
EventInternational World Wide Web Conference 2017 - Perth Convention and Exhibition Centre (PCEC), Perth, Australia
Duration: 3 Apr 20177 Apr 2017
Conference number: 26th
http://www2017.com.au/
http://www.www2017.com.au/
https://dl.acm.org/doi/proceedings/10.5555/3038912 (Proceedings)

Conference

ConferenceInternational World Wide Web Conference 2017
Abbreviated titleWWW 2017
Country/TerritoryAustralia
CityPerth
Period3/04/177/04/17
Internet address

Keywords

  • ACM proceedings
  • Cy-bercrime
  • Cybersafety
  • Mass-marketing fraud
  • Online scams

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