Financial fraud detection using social media crowdsourcing

Timothy Matti, Yuntao Zhu, Kuai Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 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 languageEnglish (US)
Title of host publication2014 IEEE 33rd International Performance Computing and Communications Conference, IPCCC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2014-January
ISBN (Electronic)9781479975754
DOIs
StatePublished - Jan 20 2015
Event33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014 - Austin, United States
Duration: Dec 5 2014Dec 7 2014

Other

Other33rd IEEE International Performance Computing and Communications Conference, IPCCC 2014
Country/TerritoryUnited States
CityAustin
Period12/5/1412/7/14

ASJC Scopus subject areas

  • Software
  • Computational Theory and Mathematics
  • Computer Networks and Communications

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