• DocumentCode
    266161
  • Title

    Applauses in hotel reviews: Genuine or deceptive?

  • Author

    Banerjee, Sean ; Chua, Alton Y. K.

  • Author_Institution
    Wee Kim Wee Sch. of Commun. & Inf., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2014
  • fDate
    27-29 Aug. 2014
  • Firstpage
    938
  • Lastpage
    942
  • Abstract
    With the profusion of social media, users increasingly browse through hotel reviews posted in websites such as TripAdvisor.com or Expedia.com to make a booking. Concurrently, contributing deceptive reviews to unduly applaud hotels is fast becoming a well-established e-business malpractice. Therefore, analyzing differences between genuine and deceptive reviews has become a pressing issue. Though such differences are generally difficult to detect, there could be telltale signs in terms of readability, genre, and writing style of reviews. This paper thus conducts a linguistic analysis to investigate the extent to which readability, genre, and writing style could predict review authenticity. Drawing data from a publicly available secondary dataset that includes 400 genuine and 400 deceptive reviews for hotels, results indicate that readability and writing style could be significant predictors of review authenticity. With respect to review genre however, differences between genuine and deceptive reviews appeared largely blurred. The implications of the findings are discussed. Finally, the paper concludes with notes on limitations and future research directions.
  • Keywords
    hotel industry; marketing; social networking (online); Expedia.com; TripAdvisor.com; Websites; deceptive reviews; hotel reviews; linguistic analysis; publicly available secondary dataset; review authenticity; review genre; social media; well-established e-business malpractice; writing style; Complexity theory; Indexes; Logistics; Organizations; Pragmatics; Unsolicited electronic mail; Writing; e-business; linguistic analysis; opinion spam; user-generated content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2014
  • Conference_Location
    London
  • Print_ISBN
    978-0-9893-1933-1
  • Type

    conf

  • DOI
    10.1109/SAI.2014.6918299
  • Filename
    6918299