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

doi:10.1145/3041021.3053891

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 proceeding › Conference Paper › Research › peer-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 language	English
Title of host publication	Proceedings of the 26th International Conference on World Wide Web
Editors	Eugene Agichtein, Evgeniy Gabrilovich
Place of Publication	Geneva Switzerland
Publisher	International World Wide Web Conferences Steering Committee
Pages	1311-1314
Number of pages	4
ISBN (Electronic)	9781450349147
DOIs	https://doi.org/10.1145/3041021.3053891
Publication status	Published - 2017
Externally published	Yes
Event	International World Wide Web Conference 2017 - Perth Convention and Exhibition Centre (PCEC), Perth, Australia Duration: 3 Apr 2017 → 7 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

Conference	International World Wide Web Conference 2017
Abbreviated title	WWW 2017
Country/Territory	Australia
City	Perth
Period	3/04/17 → 7/04/17
Internet address	http://www2017.com.au/ http://www.www2017.com.au/ https://dl.acm.org/doi/proceedings/10.5555/3038912 (Proceedings)

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3041021.3053891

Cite this

Whitty, M., Edwards, M., Levi, M., Peersman, C., Rashid, A., Sasse, A., Sorell, T., & Stringhini, G. (2017). Ethical and social challenges with developing automated methods to detect and warn potential victims of Mass-Marketing Fraud (MMF). In E. Agichtein, & E. Gabrilovich (Eds.), Proceedings of the 26th International Conference on World Wide Web (pp. 1311-1314). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3053891

Whitty, Monica ; Edwards, Matthew ; Levi, Michael et al. / Ethical and social challenges with developing automated methods to detect and warn potential victims of Mass-Marketing Fraud (MMF). Proceedings of the 26th International Conference on World Wide Web. editor / Eugene Agichtein ; Evgeniy Gabrilovich. Geneva Switzerland : International World Wide Web Conferences Steering Committee, 2017. pp. 1311-1314

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

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.",

keywords = "ACM proceedings, Cy-bercrime, Cybersafety, Mass-marketing fraud, Online scams",

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

note = "Funding Information: The work reported in this paper is supported by award EP/N028112/1 {\textquoteleft}DAPM: Detecting and Preventing Mass-Marketing Fraud (MMF){\textquoteright}, from the UK Engineering and Physical Sciences Research Council. Publisher Copyright: {\textcopyright} 2017 International World Wide Web Conference Committee (IW3C2), published under Creative Commons CC BY 4.0 License.; International World Wide Web Conference 2017, WWW 2017 ; Conference date: 03-04-2017 Through 07-04-2017",

year = "2017",

doi = "10.1145/3041021.3053891",

language = "English",

pages = "1311--1314",

editor = "Eugene Agichtein and Evgeniy Gabrilovich",

booktitle = "Proceedings of the 26th International Conference on World Wide Web",

publisher = "International World Wide Web Conferences Steering Committee",

url = "http://www2017.com.au/, http://www.www2017.com.au/, https://dl.acm.org/doi/proceedings/10.5555/3038912",

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Whitty, M, Edwards, M, Levi, M, Peersman, C, Rashid, A, Sasse, A, Sorell, T & Stringhini, G 2017, Ethical and social challenges with developing automated methods to detect and warn potential victims of Mass-Marketing Fraud (MMF). in E Agichtein & E Gabrilovich (eds), Proceedings of the 26th International Conference on World Wide Web. International World Wide Web Conferences Steering Committee, Geneva Switzerland, pp. 1311-1314, International World Wide Web Conference 2017, Perth, Western Australia, Australia, 3/04/17. https://doi.org/10.1145/3041021.3053891

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 et al.

Proceedings of the 26th International Conference on World Wide Web. ed. / Eugene Agichtein; Evgeniy Gabrilovich. Geneva Switzerland : International World Wide Web Conferences Steering Committee, 2017. p. 1311-1314.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Ethical and social challenges with developing automated methods to detect and warn potential victims of Mass-Marketing Fraud (MMF)

AU - Whitty, Monica

AU - Edwards, Matthew

AU - Levi, Michael

AU - Peersman, Claudia

AU - Rashid, Awais

AU - Sasse, Angela

AU - Sorell, Tom

AU - Stringhini, Gianluca

N1 - Conference code: 26th

PY - 2017

Y1 - 2017

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AB - 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.

KW - ACM proceedings

KW - Cy-bercrime

KW - Cybersafety

KW - Mass-marketing fraud

KW - Online scams

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EP - 1314

BT - Proceedings of the 26th International Conference on World Wide Web

A2 - Agichtein, Eugene

A2 - Gabrilovich, Evgeniy

PB - International World Wide Web Conferences Steering Committee

CY - Geneva Switzerland

T2 - International World Wide Web Conference 2017

Y2 - 3 April 2017 through 7 April 2017

ER -

Whitty M, Edwards M, Levi M, Peersman C, Rashid A, Sasse A et al. Ethical and social challenges with developing automated methods to detect and warn potential victims of Mass-Marketing Fraud (MMF). In Agichtein E, Gabrilovich E, editors, Proceedings of the 26th International Conference on World Wide Web. Geneva Switzerland: International World Wide Web Conferences Steering Committee. 2017. p. 1311-1314 https://doi.org/10.1145/3041021.3053891

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

Abstract

Conference

Keywords

UN SDGs

Access to Document

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