Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities
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/met...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2017
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| Online Access: | https://hdl.handle.net/10356/84164 http://hdl.handle.net/10220/43564 |
| _version_ | 1811679594163470336 |
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| author | Banerjee, Snehasish Chua, Alton Yeow Kuan |
| author2 | Wee Kim Wee School of Communication and Information |
| author_facet | Wee Kim Wee School of Communication and Information Banerjee, Snehasish Chua, Alton Yeow Kuan |
| author_sort | Banerjee, Snehasish |
| collection | NTU |
| description | 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. |
| first_indexed | 2024-10-01T03:11:38Z |
| format | Journal Article |
| id | ntu-10356/84164 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:11:38Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | ntu-10356/841642020-03-07T12:15:50Z Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities Banerjee, Snehasish Chua, Alton Yeow Kuan Wee Kim Wee School of Communication and Information Electronic commerce Information science 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. MOE (Min. of Education, S’pore) Accepted version 2017-08-07T05:54:47Z 2019-12-06T15:39:38Z 2017-08-07T05:54:47Z 2019-12-06T15:39:38Z 2017 Journal Article 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. 1066-2243 https://hdl.handle.net/10356/84164 http://hdl.handle.net/10220/43564 10.1108/IntR-11-2015-0309 en Internet Research © 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]. 36 p. application/pdf |
| spellingShingle | Electronic commerce Information science Banerjee, Snehasish Chua, Alton Yeow Kuan Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities |
| title | Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities |
| title_full | Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities |
| title_fullStr | Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities |
| title_full_unstemmed | Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities |
| title_short | Theorizing the textual differences between authentic and fictitious reviews: Validation across positive, negative and moderate polarities |
| title_sort | theorizing the textual differences between authentic and fictitious reviews validation across positive negative and moderate polarities |
| topic | Electronic commerce Information science |
| url | https://hdl.handle.net/10356/84164 http://hdl.handle.net/10220/43564 |
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