 A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourismZheng Xiang, Qianzhou Du, Yufeng Ma and Weiguo Fan Tourism Management, 2017, vol. 58, issue C, 51-65 Abstract: Online consumer reviews have been studied for various research problems in hospitality and tourism. However, existing studies using review data tend to rely on a single data source and data quality is largely anecdotal. This greatly limits the generalizability and contribution of social media analytics research. Through text analytics this study comparatively examines three major online review platforms, namely TripAdvisor, Expedia, and Yelp, in terms of information quality related to online reviews about the entire hotel population in Manhattan, New York City. The findings show that there are huge discrepancies in the representation of the hotel industry on these platforms. Particularly, online reviews vary considerably in terms of their linguistic characteristics, semantic features, sentiment, rating, usefulness as well as the relationships between these features. This study offers a basis for understanding the methodological challenges and identifies several research directions for social media analytics in hospitality and tourism. Keywords: Online reviews; Hotel industry; Information quality; Social media analytics; Text analytics; Machine learning (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:touman:v:58:y:2017:i:c:p:51-65 DOI: 10.1016/j.tourman.2016.10.001 Access Statistics for this article Tourism Management is currently edited by Chris Ryan More articles in Tourism Management from Elsevier |
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