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Title Information Quality of Online Reviews in the Presence of Potentially Fake Reviews
   
Author Wonho Song (Chung-Ang University), Sangkon Park (Korea Culture & Tourism Institute) and Doojin Ryu (Sungkyunkwan University)
   
Volume 33 Number 1
       
Pages  
       
Keywords Online Review, Fake Review, Rating, Aggregation, Numerical Experimentation, Tourism Management
       
Abstract Online reviews are important in the evaluation of product quality. This paper seeks to
assess information quality of online reviews using the TripAdvisor data for Korean hotels.
We first estimate the review model developed by Dai, Jin, Lee, and Luca (2012) and show
that high-quality reviews contain most of the information for the quality of hotels. Second,
we assess the degree of distortions caused by fake reviews through numerical experiments and
show that the distortions of fake reviews are serious. Third, we compare the simple average
and weighted average aggregation methods. Weighted average method is better than simple
average in finding the quality of hotels but it is more vulnerable to fake reviews. Fourth, we
suggest excluding low-quality reviews to deal with fake reviews and show that the benefit of
avoiding serious distortions from potentially fake reviews is greater than the cost of losing
information from low-quality reviews.
   
File KER-20170630-33-1-01.pdf
   
 
 
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