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Ethical and Social Challenges with developing Automated Methods to Detect and Warn potential victims of Mass-marketing Fraud (MMF)

Published:03 April 2017Publication History

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.

References

  1. T. Buchanan and M. T. Whitty. The online dating romance scam: causes and consequences of victimhood. Psychology, Crime & Law, 20(3):261--283, 2014. Google ScholarGoogle ScholarCross RefCross Ref
  2. G. Gu, P. A. Porras, V. Yegneswaran, M. W. Fong, and W. Lee. Bothunter: Detecting malware infection through ids-driven dialog correlation. In Usenix Security, volume 7, pages 1--16, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. T. Hancock, L. Curry, S. Goorha, and M. Woodworth. Automated linguistic analysis of deceptive and truthful synchronous computer-mediated communication. In System Sciences, 2005. HICSS'05. Proceedings of the 38th Annual Hawaii International Conference on, pages 22c--22c. IEEE, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. Huang, G. Stringhini, and P. Yong. Quit playing games with my heart: Understanding online dating scams. In International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, pages 216--236. Springer, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. S. Lea, P. Fischer, and K. M. Evans. The economic psychology of scams. International Association for Research in Economic Psychology and the Society for the Advancement of Behavioral Economics, Nova Scotia, Canada, 2009.Google ScholarGoogle Scholar
  6. D. Modic and R. J. Anderson. We will make you like our research: The development of a susceptibility-to persuasion scale. Social Science Research Network, 2014.Google ScholarGoogle ScholarCross RefCross Ref
  7. A. Rashid, K. Moore, C. May-Chahal, and R. Chitchyan. Managing emergent ethical concerns for software engineering in society. In Software Engineering (ICSE), 2015 IEEE/ACM 37th IEEE International Conference on, volume 2, pages 523--526. IEEE, 2015. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. A. Sasse. Scaring and bullying people into security won't work. IEEE Security & Privacy, 13(3):80--83, 2015. Google ScholarGoogle ScholarCross RefCross Ref
  9. D. Weirich and M. A. Sasse. Persuasive password security. In CHI'01 Extended Abstracts on Human Factors in Computing Systems, pages 139--140. ACM, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. M. T. Whitty. The scammers persuasive techniques model: Development of a stage model to explain the online dating romance scam. British Journal of Criminology, 53(4):665--684, 2013. Google ScholarGoogle ScholarCross RefCross Ref
  11. M. T. Whitty. Mass-marketing fraud: a growing concern. IEEE Security & Privacy, 13(4):84--87, 2015. Google ScholarGoogle ScholarCross RefCross Ref
  12. M. T. Whitty and T. Buchanan. The online dating romance scam: The psychological impact on victims{both financial and non-financial. Criminology & Criminal Justice, 16(2):176--194, 2016. Google ScholarGoogle ScholarCross RefCross Ref
  13. L. Zhou, J. K. Burgoon, J. F. Nunamaker, and D. Twitchell. Automating linguistics-based cues for detecting deception in text-based asynchronous computer-mediated communications. Group decision and negotiation, 13(1):81--106, 2004. Google ScholarGoogle ScholarCross RefCross Ref

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  1. Ethical and Social Challenges with developing Automated Methods to Detect and Warn potential victims of Mass-marketing Fraud (MMF)

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          • Published in

            cover image ACM Other conferences
            WWW '17 Companion: Proceedings of the 26th International Conference on World Wide Web Companion
            April 2017
            1738 pages
            ISBN:9781450349147

            Publisher

            International World Wide Web Conferences Steering Committee

            Republic and Canton of Geneva, Switzerland

            Publication History

            • Published: 3 April 2017

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            WWW '17 Companion Paper Acceptance Rate164of966submissions,17%Overall Acceptance Rate1,899of8,196submissions,23%
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