Desheng Wu: Online Fake Review Detection: Features, Modeling, Challenges and Opportunities

The 10^th Frontier Forum for Digital Technology and Finance

Topic:	Online Fake Review Detection: Features, Modeling, Challenges and Opportunities
Speaker:	Professor Desheng Wu University of Chinese Academy of Sciences Academician of the European Academy of Sciences Academician of the European Academy of Sciences and Arts Academician of the Eurasian Academy of Sciences
Host:	Professor Dawei Jin Dean of the School of Information and Safety Engineering, ZUEL Co-Director of the Innovation and Talent Base for Digital Technology and Finance
Time:	14:00-15:30, May 30 (Mon.), 2022
Location:	VooV Meeting (226-827-441)

Abstract:
This study proposes a new detection method through theoretical and empirical analysis to identify the characteristics of fake reviews while analyzing the trends, prospects, and prospects of multimodal data analysis in unsupervised methods.

Speaker Introduction:
Desheng Wu, professor and doctoral supervisor of the University of Chinese Academy of Sciences, academician of the European Academy of Sciences, academician of the European Academy of Sciences and Arts, academician of the Eurasian Academy of Sciences, winner of the National Science Fund for Distinguished Young Scholars. He has published more than 100 SCI-indexed papers in international mainstream academic journals such as POM, JMIS, and IEEE TKDEDSJ, ranking first in the 2019 Elsevier China Highly Cited Scholars in Economics, Econometrics and Finance. Selected into the National Thousand Young Talents Program, the Chinese Academy of Sciences Hundred Talents Program, and the Leading Talents of the University of Chinese Academy of Sciences. He has won the China Youth Science and Technology Award, the Chinese Academy of Sciences Young Scientist Award, and other honorary awards.


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