Modeling and analyzing review information on the web focusing on credibility

Authors:
Takuya Kobayashi;Hiroaki Ohshima;Satoshi Oyama;Katsumi Tanaka
Affiliations:
Kyoto University, Sakyo, Kyoto, Japan;Kyoto University, Sakyo, Kyoto, Japan;Kyoto University, Sakyo, Kyoto, Japan;Kyoto University, Sakyo, Kyoto, Japan
Venue:
Proceedings of the 2009 ACM symposium on Applied Computing
Year:
2009

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Abstract

In this paper we modeled review information to assess its credibility. We think the information to support users in credibility evaluation of reviews is necessary. This paper presents method for detecting reviewers' activity areas and biases. We also discuss the problem of glorified terms in online reviews. As these terms cause cognitive bias, supporting information that enables accurate understanding is needed.