Modeling and analyzing review information on the web focusing on credibility

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Modeling and analyzing review information on the web focusing on credibility

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Symposium on Applied Computing archive
Proceedings of the 2009 ACM symposium on Applied Computing table of contents

Honolulu, Hawaii

POSTER SESSION: Poster papers table of contents

Pages 1316-1317

Year of Publication: 2009

ISBN:978-1-60558-166-8

Authors

Takuya Kobayashi	Kyoto University, Sakyo, Kyoto, Japan
Hiroaki Ohshima	Kyoto University, Sakyo, Kyoto, Japan
Satoshi Oyama	Kyoto University, Sakyo, Kyoto, Japan
Katsumi Tanaka	Kyoto University, Sakyo, Kyoto, Japan

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 7, Downloads (12 Months): 41, Citation Count: 1

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

H. W. Lauw, E.-P. Lim, and K. Wang. Summarizing review scores of "unequal" reviewers. In SDM. SIAM, 2007.

CITED BY

Takuya Kobayashi , Hiroaki Ohshima , Satoshi Oyama , Katsumi Tanaka, Evaluating brand value on the web, Proceedings of the 3rd workshop on Information credibility on the web, April 20-20, 2009, Madrid, Spain

INDEX TERMS

Primary Classification:
J. Computer Applications
J.4 SOCIAL AND BEHAVIORAL SCIENCES