Detecting Fake Reviews via Verbal and Nonverbal Features

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE International Conference on e-Business Engineering, ICEBE 2021
Place of PublicationLos Alamitos, Calif.
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages95-99
ISBN (electronic)978-1-6654-4418-7
ISBN (print)978-1-6654-4419-4
Publication statusPublished - Nov 2021

Publication series

NameInternational Conference on e-Business Engineering

Conference

Title17th IEEE International Conference on e-Business Engineering (ICEBE 2021)
PlaceChina
CityGuangzhou
Period12 - 14 November 2021

Abstract

Online reviews are important to help customers to make purchasing decisions. However, opinion spamming exists in online review hosting websites, which has biased consumers' understanding of targeted products and service. Artificial Intelligence algorithms have been designed and adopted to automatically detect fake reviews. In this study, we evaluate the detection performance of various classic algorithms in a dataset crawled from one of largest online review hosting websites. We generate both verbal features from review text and nonverbal features from review related attributes. Experiment results show nonverbal features have higher impacts on fake review detection. Besides, GBDT could achieve stable detection performance in terms of four common metrics but using fewer features.

Research Area(s)

  • fake review detection, verbal features, nonverbal features, classification

Citation Format(s)

Detecting Fake Reviews via Verbal and Nonverbal Features. / Wang, Guangxu; Zhang, Jinfeng; Zhang, Xiong.
Proceedings - 2021 IEEE International Conference on e-Business Engineering, ICEBE 2021. Los Alamitos, Calif.: Institute of Electrical and Electronics Engineers, Inc., 2021. p. 95-99 (International Conference on e-Business Engineering).

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review