Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105158
Title: A theoretical framework to identify authentic online reviews
Authors: Banerjee, Snehasish
Chua, Alton Yeow Kuan
Keywords: DRNTU::Social sciences::Mass media::Media effects
Issue Date: 2014
Source: Banerjee, S., & Chua, A. Y. K. (2014). A theoretical framework to identify authentic online reviews. Online information review, 38(5), 634-649.
Series/Report no.: Online information review
Abstract: Purpose – The purpose of this paper is to investigate the extent to which textual characteristics of online reviews help identify authentic entries from manipulative ones across positive and negative comments. Design/methodology/approach – A theoretical framework is proposed to identify authentic online reviews from manipulative ones based on three textual characteristics, namely, comprehensibility, informativeness, and writing style. The framework is tested using two publicly available data sets, one comprising positive reviews to hype own offerings, and the other including negative reviews to slander competing offerings. Logistic regression is used for analysis. Findings – The three textual characteristics offered useful insights to identify authentic online reviews from manipulative ones. In particular, the differences between authentic and manipulative reviews in terms of comprehensibility and informativeness were more conspicuous for negative entries. On the other hand, the differences between authentic and manipulative reviews in terms of writing style were more conspicuous for positive entries. Research limitations/implications – The findings of this paper are somewhat constrained by the scope of the data sets used for analysis. Originality/value – The paper represents one of the earliest attempts to develop a theoretical framework to identify authentic online reviews. Prior research has shed light on ways to classify reviews as authentic or manipulative. However, literature on specific differences between the two in terms of textual characteristics is relatively limited. Moreover, by suggesting differences between authentic and manipulative reviews across positive and negative comments, the findings offer nuanced insights into a research area that is growing in importance.
URI: https://hdl.handle.net/10356/105158
http://hdl.handle.net/10220/25873
ISSN: 1468-4527
DOI: 10.1108/OIR-02-2014-0047
Rights: © 2014 Emerald Group Publishing Limited. This is the author created version of a work that has been peer reviewed and accepted for publication by Online information review, Emerald Group Publishing Limited. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1108/OIR-02-2014-0047].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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