Crowdfunding Scams: The Profiles and Language of Deceivers (크라우드펀딩에서의 사기 프로젝트 탐지: 캠페인의 프로필 정보와 언어적 특성을 활용하여)

Lee seunghun (이승훈); Hyun-chul Kim (김현철)

doi:10.9708/jksci.2018.23.03.055

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.

KEYWORDS

Crowdfunding, Scam, Linguistic cues, Classification

Citation status

* References for papers published after 2023 are currently being built.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Crowdfunding Scams: The Profiles and Language of Deceivers

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KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Crowdfunding Scams: The Profiles and Language of Deceivers

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KEYWORDS

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* References for papers published after 2023 are currently being built.