한국컴퓨터정보학회논문지 (Journal of the Korea Society of Computer and Information)

  • 제23권3호
  • /
  • Pages.55-62
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  • 2018
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  • 1598-849X(pISSN)
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  • 2383-9945(eISSN)
한국컴퓨터정보학회 (Korean Society of Computer Information)
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Crowdfunding Scams: The Profiles and Language of Deceivers

  • 투고 : 2018.02.07
  • 심사 : 2018.03.09
  • 발행 : 2018.03.30
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초록

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.

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