Quantifying reviewer credibility in online tourism

Yuanyuan Wang, Stephen Chi Fai Chan, Grace Ngai, Hong Va Leong

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

11 Citations (Scopus)


With the growing interconnectedness of the world and advances in transportation and communication, more and more people are travelling as independent tourists, putting together their own itineraries and activities from information researched from social media. However, many reviewers post reviews without validation, leading to the explosive growth of reviews and the proliferation of uninformative, biased or even false information. This makes it very challenging for travellers to find credible reviews. Previous work has shown that credibility assessment of sources and messages are fundamentally interlinked. Hence, there has been much work on measuring the credibility of reviewers. However, most current work investigates the factors impacting the perception of reviewer credibility without quantitative evaluation. This paper presents a method that quantifies the credibility of reviewers in TripAdvisor. An Impact Index is proposed to measure reviewer credibility by evaluating the expertise and trustworthiness based on the number of reviews posted by the reviewer and the number of helpful votes received by the reviews. Furthermore, the Impact Index is improved into the Exposure-Impact Index by considering in addition the number of destinations on which the reviewer posted reviews. Our experimental results show that both Impact Index and Exposure-Impact Index outperform the state-of-the-art method in measuring the credibility of reviewers to help travellers search for credible reviews.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 24th International Conference, DEXA 2013, Proceedings
Number of pages15
EditionPART 1
Publication statusPublished - 25 Sept 2013
Event24th International Conference on Database and Expert Systems Applications, DEXA 2013 - Prague, Czech Republic
Duration: 26 Aug 201329 Aug 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume8055 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference24th International Conference on Database and Expert Systems Applications, DEXA 2013
Country/TerritoryCzech Republic


  • credible review
  • reviewer credibility
  • tourism

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Quantifying reviewer credibility in online tourism'. Together they form a unique fingerprint.

Cite this