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The Interactive Effect of Review Rating and Text Sentiment on Review Helpfulness

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Book cover E-Commerce and Web Technologies (EC-Web 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 239))

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Abstract

Review ratings and text sentiments respectively represent quantitative and qualitative aspects of user-generated product reviews. These two types of polarity information complement each other in affecting consumers’ review evaluation. Few extant studies consider the interplay of review rating and text sentiment on perceived review helpfulness. In this study, we attempt to investigate this potential interaction effect and examine whether it is conditional on review length. The empirical results from an analysis of 70,610 restaurant reviews from Yelp.com indicate that both review ratings and text sentiments exhibit negativity bias effect, such that negative ratings and texts are more helpful than positive ones. Meanwhile, the two types of review valence have a positive interaction effect on perceived review helpfulness. Moreover, the interaction effect of review rating and text sentiment is stronger for longer reviews.

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Author information

Authors and Affiliations

  1. School of Management, Zhejiang University, Hangzhou, China

    Shasha Zhou & Bin Guo

  2. School of Business, Zhejiang University City College, Hangzhou, China

    Bin Guo

Authors
  1. Shasha Zhou
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  2. Bin Guo
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Correspondence to Bin Guo .

Editor information

Editors and Affiliations

  1. Institut für Informatik, B6.26, University of Mannheim Institut für Informatik, B6.26, Mannheim, Germany

    Heiner Stuckenschmidt

  2. Dep. of Computer Science, TU Dortmund Dep. of Computer Science, Dortmund, Germany

    Dietmar Jannach

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Zhou, S., Guo, B. (2015). The Interactive Effect of Review Rating and Text Sentiment on Review Helpfulness. In: Stuckenschmidt, H., Jannach, D. (eds) E-Commerce and Web Technologies. EC-Web 2015. Lecture Notes in Business Information Processing, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-27729-5_8

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  • DOI: https://doi.org/10.1007/978-3-319-27729-5_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27728-8

  • Online ISBN: 978-3-319-27729-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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