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Pacific-Asia Workshop on Intelligence and Security Informatics

PAISI 2015: Intelligence and Security Informatics pp 102–112Cite as

In Search of Plagiarism Behaviors: An Empirical Study of Online Reviews

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9074))

Abstract

Plagiarism has been a common phenomenon in the online environment. But the plagiarism phenomenon in online product reviews has been an uninvestigated issue, in spite of various studies in the product review domain. Readers of the plagiarized review could obtain the needed information for understanding the quality or other features of the products through reviews. Besides, the positivity or negativity of the plagiarized review might have different influences on people’s perception towards the target products. In this study, we first probe into the current situation of online review plagiarism. Then drawing on the frameworks of attribution theory, in order to examine the effects of plagiarism, we develop and test a model of reviews’ diagnosticity perception. The moderation effects of review rating and sentiment are also investigated on the relationship of review plagiarism and review perception. A research plan to analyze reviews collected from Amazon.com is discussed and the results are expected to shed lights upon the understanding of plagiarism behaviors for online reviews, contributing to both theoretical and managerial implications.

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Author information

Authors and Affiliations

  1. School of Business, Faculty of Business and Economics, The University of Hong Kong, Hong Kong, China

    Zhuolan Bao & Michael Chau

Authors
  1. Zhuolan Bao
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  2. Michael Chau
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Corresponding author

Correspondence to Zhuolan Bao .

Editor information

Editors and Affiliations

  1. The University of Hong Kong, Hong Kong, Hong Kong SAR

    Michael Chau

  2. Virginia Tech, Blacksburg, USA

    G. Alan Wang

  3. The University of Arizona, Tucson, USA

    Hsinchun Chen

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Bao, Z., Chau, M. (2015). In Search of Plagiarism Behaviors: An Empirical Study of Online Reviews. In: Chau, M., Wang, G., Chen, H. (eds) Intelligence and Security Informatics. PAISI 2015. Lecture Notes in Computer Science(), vol 9074. Springer, Cham. https://doi.org/10.1007/978-3-319-18455-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-18455-5_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18454-8

  • Online ISBN: 978-3-319-18455-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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