Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/84164
Title: Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities
Authors: Banerjee, Snehasish
Chua, Alton Yeow Kuan
Keywords: Electronic commerce
Information science
Issue Date: 2017
Source: Banerjee, S., & Chua, A. Y. K. (2017). Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities. Internet Research, 27(2), 321-337.
Series/Report no.: Internet Research
Abstract: Purpose: The purpose of this paper is twofold: to build a theoretical model that identifies textual cues to distinguish between authentic and fictitious reviews, and to empirically validate the theoretical model by examining reviews of positive, negative as well as moderate polarities. Design/methodology/approach: Synthesizing major theories on deceptive communication, the theoretical model identifies four constructs – comprehensibility, specificity, exaggeration and negligence – to predict review authenticity. The predictor constructs were operationalized as holistically as possible. To validate the theoretical model, 1,800 reviews (900 authentic + 900 fictitious) evenly spread across positive, negative and moderate polarities were analyzed using logistic regression. Findings: The performance of the proposed theoretical model was generally promising. However, it could better discern authenticity for positive and negative reviews compared with moderate entries. Originality/value: The paper advances the extant literature by theorizing the textual differences between authentic and fictitious reviews. It also represents one of the earliest attempts to examine nuances in the textual differences between authentic and fictitious reviews across positive, negative as well as moderate polarities.
URI: https://hdl.handle.net/10356/84164
http://hdl.handle.net/10220/43564
ISSN: 1066-2243
DOI: 10.1108/IntR-11-2015-0309
Rights: © 2017 Emerald Publishing Limited. This is the author created version of a work that has been peer reviewed and accepted for publication by Internet Research, Emerald 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/IntR-11-2015-0309].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Journal Articles

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