@inproceedings{bb0b8bcc690f4984bc2d58c77be54fe3,
title = "Reliability of reviews on the internet: The case of trip advisor",
abstract = "Given the rampant growth of travel-related user-generated content on the Internet, this paper seeks to investigate the reliability of reviews in TripAdvisor, a popular travel review site. To support the goal, two objectives are submitted. The first is to locate clusters of highly-interlocked hotels that have been evaluated by a common pool of reviewers. This enables review baselines to be established, which in turn facilitates detection of anomalies. The second is to determine the inter-reviewer and intra-reviewer reliability of reviews. Results suggest that reviews in TripAdvisor could be largely reliable. The findings gleaned from the results are discussed.",
keywords = "Online reviews, Reliability, Social network analysis, User-generated content",
author = "Chua, {Alton Y.K.} and Snehasish Banerjee",
year = "2013",
language = "English",
isbn = "9789881925169",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "453--457",
booktitle = "WCECS 2013 - World Congress on Engineering and Computer Science 2013",
note = "2013 World Congress on Engineering and Computer Science, WCECS 2013 ; Conference date: 23-10-2013 Through 25-10-2013",
}