Detection of Fake Reviews: Analysis of Sellers’ Manipulation Behavior

Lirong Chen, Wenli Li, Hao Chen and Shidao Geng
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Lirong Chen: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Wenli Li: Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China
Hao Chen: School of Business, Qingdao University, Qingdao 266071, China
Shidao Geng: School of Maritime Economics and Management, Dalian 116026, China

Sustainability, 2019, vol. 11, issue 17, 1-13

Abstract: Online reputation systems play an important role in reducing consumers’ purchase uncertainty in online shopping. However, some sellers manipulate reviews for their own interests, which reduces the effectiveness of the reputation system. Unlike the previous studies, which focus on features of reviews and reviewers, this study establishes a game model to analyze sellers’ manipulation behavior and identifies what kind of sellers or under what scenario sellers are motivated to manipulate reviews. Our study provides a new perspective for platform to detect fake reviews and helps consumers to make good use of online reviews without getting trapped in some sellers’ fraudulent manipulation.

Keywords: reputation; game theory; fake-review detection; motivation; online review manipulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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