Identifying faked hotel reviews using authorship analysis

Robert Layton, Paul Watters, Oana Ureche

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)


The use of online review sites has grown significantly, allowing for communities to share information on products or services.These online review sites are marketed as being independent and trustworthy, but have been criticised for not ensuring the integrity of the reviews.One major concern is that of review fraud; where a person (such as a marketer) is paid to write favourable reviews for one product or poor reviews for a competitor.In this research we show a method for determining if two reviews share an author, which can be used to identify if a review is legitimate.Our results indicate a high quality of the method, with an f-1-score of over 0.66 in testing data with 40 authors, with most authors having only one or two documents.This type of analysis can be used to investigate cases of potential hotel review fraud.

Original languageEnglish
Title of host publicationProceedings:
Subtitle of host publicationFourth Cybercrime and Trustworthy Computing Workshop, CTC 2013
Place of PublicationPiscataway, NJ, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781479930760
ISBN (Print)9781479930753
Publication statusPublished - 2013
Externally publishedYes
EventCybercrime and Trustworthy Computing Workshop (4th : 2013) - Sydney, NSW, Australia
Duration: 21 Nov 201322 Nov 2013


OtherCybercrime and Trustworthy Computing Workshop (4th : 2013)
Abbreviated titleCTC 2013
CitySydney, NSW


  • Authorship Analysis
  • Hotel Review Fraud
  • Recentred Local Profiles


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