Banerjee, Snehasish orcid.org/0000-0001-6355-0470 and Chua, Alton Y.K. (2021) Calling out fake online reviews through robust epistemic belief. Information & management. 103445. pp. 1-13. ISSN 0378-7206
Abstract
Research shows that computational algorithms can classify online reviews as authentic or fake based on linguistic nuances. This study examines whether Internet users can process reviews in an algorithmic manner to discern authenticity. It also considers the role of epistemic belief—the individual trait that inherently determines one’s ability to separate fact from falsehood. In an online survey, 380 participants were each exposed to three hotel reviews—some authentic, others fake. Perceived specificity was positively related to perceived review authenticity, whereas perceived exaggeration showed a negative association. Epistemic belief with respect to justification for knowing significantly moderated both the relationships.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier B.V. All rights reserved. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. |
Keywords: | authenticity,e-tourism,information processing,Online review,fake review,Epistemic belief |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Social Sciences (York) > The York Management School |
Depositing User: | Pure (York) |
Date Deposited: | 08 Feb 2021 17:00 |
Last Modified: | 02 Apr 2025 23:21 |
Published Version: | https://doi.org/10.1016/j.im.2021.103445 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1016/j.im.2021.103445 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:170896 |
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