Don’t be deceived : Using linguistic analysis to learn how to discern online review authenticity

Banerjee, Snehasish orcid.org/0000-0001-6355-0470, Chua, Alton Y.K. and Kim, Jung-Jae (2017) Don’t be deceived : Using linguistic analysis to learn how to discern online review authenticity. Journal of the Association for Information Science and Technology. pp. 1525-1538. ISSN 2330-1643

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Copyright, Publisher and Additional Information: © 2017 ASIS&T. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Keywords: Information Systems,Computer Networks and Communications,Information Systems and Management,Library and Information Sciences
Dates:
  • Published: 17 May 2017
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 Dec 2017 12:40
Last Modified: 07 Sep 2022 11:56
Published Version: https://doi.org/10.1002/asi.23784
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1002/asi.23784
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Description: Don't Be Deceived

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