Applauses in hotel reviews: Genuine or deceptive?

Snehasish Banerjee*, Alton Y.K. Chua

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of 2014 Science and Information Conference, SAI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages938-942
Number of pages5
ISBN (Electronic)9780989319317
DOIs
Publication statusPublished - Oct 7 2014
Externally publishedYes
Event2014 Science and Information Conference, SAI 2014 - London, United Kingdom
Duration: Aug 27 2014Aug 29 2014

Publication series

NameProceedings of 2014 Science and Information Conference, SAI 2014

Conference

Conference2014 Science and Information Conference, SAI 2014
Country/TerritoryUnited Kingdom
CityLondon
Period8/27/148/29/14

Bibliographical note

Publisher Copyright:
© 2014 The Science and Information (SAI) Organization.

ASJC Scopus Subject Areas

  • Information Systems

Keywords

  • e-business
  • linguistic analysis
  • opinion spam
  • user-generated content

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