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

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  • Snehasish Banerjee
  • Alton Y. K. Chua
  • Jung-Jae Kim

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  • Snehasish Banerjee & Alton Y. K. Chua & Jung-Jae Kim, 2017. "Don't be deceived: Using linguistic analysis to learn how to discern online review authenticity," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(6), pages 1525-1538, June.
    • Handle: RePEc:bla:jinfst:v:68:y:2017:i:6:p:1525-1538
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    File URL: http://hdl.handle.net/10.1002/asi.23784
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    Cited by:

    1. Kapoor, Payal S. & M S, Balaji & Maity, Moutusy & Jain, Nikunj Kumar, 2021. "Why consumers exaggerate in online reviews? Moral disengagement and dark personality traits," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    2. Philipp Lorenz-Spreen & Stephan Lewandowsky & Cass R. Sunstein & Ralph Hertwig, 2020. "How behavioural sciences can promote truth, autonomy and democratic discourse online," Nature Human Behaviour, Nature, vol. 4(11), pages 1102-1109, November.
    3. Le Bo & Yimo Chen & Xiaoli Yang, 2023. "The Impact of Contradictory Online Reviews on Consumer Online Purchase Decision: Experimental Evidence From China," SAGE Open, , vol. 13(2), pages 21582440231, June.
    4. Lihi Dery & Dror Hermel & Artyom Jelnov, 2021. "Cheating in Ranking Systems," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 58(2), pages 303-320, March.
    5. Banerjee, Snehasish & Chua, Alton Y.K., 2023. "Understanding online fake review production strategies," Journal of Business Research, Elsevier, vol. 156(C).
    6. Sung Youl Jun & Tae Wook Ju & Hye Kyung Park & Jacob C. Lee & Tae Min Kim, 2023. "Information distortion in word-of-mouth retransmission: the effects of retransmitter intention and source expertise," Asian Business & Management, Palgrave Macmillan, vol. 22(5), pages 1848-1876, November.
    7. Philip Fei Wu, 2023. "Veni, vidi, vici? On the rise of scrape‐and‐report scholarship in online reviews research," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(2), pages 145-149, February.
    8. Moon, Sangkil & Kim, Moon-Yong & Iacobucci, Dawn, 2021. "Content analysis of fake consumer reviews by survey-based text categorization," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 343-364.

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