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Crowdfunding Scams: The Profiles and Language of Deceivers

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2018, 23(3), pp.55-62
  • DOI : 10.9708/jksci.2018.23.03.055
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : February 7, 2018
  • Accepted : March 9, 2018
  • Published : March 30, 2018

Lee seunghun 1 Hyun-chul Kim 2

1상명대학교(천안캠퍼스)
2상명대학교

Accredited

ABSTRACT

In this paper, we propose a model to detect crowdfunding scams, which have been reportedly occurring over the last several years, based on their project information and linguistic features. To this end, we first collect and analyze crowdfunding scam projects, and then reveal which specific project-related information and linguistic features are particularly useful in distinguishing scam projects from non-scams. Our proposed model built with the selected features and Random Forest machine learning algorithm can successfully detect scam campaigns with 84.46% accuracy.

Citation status

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