Financial fraud detection using social media crowdsourcing

Timothy Matti; Yuntao Zhu; Kuai Xu

doi:10.1109/PCCC.2014.7017023

Financial fraud detection using social media crowdsourcing

Timothy Matti, Yuntao Zhu, Kuai Xu

Mathematical and Natural Sciences, School of (SMNS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Detecting financial fraud is a daunting challenge for banks and credit card companies due to massive amount of transaction data and wide diversity of user behaviors [1]. In recent years social media has demonstrated the capability of crowdsourcing in a broad range of applications, e.g., disseminating breaking news, launching marketing campaigns, and tracking the flu [2], [3], [4]. Inspired by these novel applications, this paper explores the benefits of social media crowdsourcing, in particularly the tweets, re-tweets and comments from Twitter online social network for effectively detecting financial fraud events.

Original language	English (US)
Title of host publication	2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479975754
DOIs	https://doi.org/10.1109/PCCC.2014.7017023
State	Published - Jan 20 2015
Event	33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 - Austin, United States Duration: Dec 5 2014 → Dec 7 2014

Publication series

Name	2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014
Volume	2014-January

Other

Other	33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014
Country/Territory	United States
City	Austin
Period	12/5/14 → 12/7/14

ASJC Scopus subject areas

Software
Computational Theory and Mathematics
Computer Networks and Communications

Access to Document

10.1109/PCCC.2014.7017023

Cite this

Matti, T., Zhu, Y., & Xu, K. (2015). Financial fraud detection using social media crowdsourcing. In 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014 Article 7017023 (2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014; Vol. 2014-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCCC.2014.7017023

Financial fraud detection using social media crowdsourcing. / Matti, Timothy; Zhu, Yuntao; Xu, Kuai.
2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014. Institute of Electrical and Electronics Engineers Inc., 2015. 7017023 (2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014; Vol. 2014-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Matti, T, Zhu, Y & Xu, K 2015, Financial fraud detection using social media crowdsourcing. in 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014., 7017023, 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014, vol. 2014-January, Institute of Electrical and Electronics Engineers Inc., 33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014, Austin, United States, 12/5/14. https://doi.org/10.1109/PCCC.2014.7017023

Matti T, Zhu Y, Xu K. Financial fraud detection using social media crowdsourcing. In 2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014. Institute of Electrical and Electronics Engineers Inc. 2015. 7017023. (2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014). doi: 10.1109/PCCC.2014.7017023

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Financial fraud detection using social media crowdsourcing

Abstract

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