Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89398
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dc.contributorSchool of Hotel and Tourism Managementen_US
dc.creatorHao, JXen_US
dc.creatorFu, Yen_US
dc.creatorHsu, Cen_US
dc.creatorLi, Xen_US
dc.creatorChen, Nen_US
dc.date.accessioned2021-03-18T06:32:11Z-
dc.date.available2021-03-18T06:32:11Z-
dc.identifier.issn0047-2875en_US
dc.identifier.urihttp://hdl.handle.net/10397/89398-
dc.language.isoenen_US
dc.publisherSAGE Publicationsen_US
dc.rightsThis is the accepted version of the publication Jin-Xing Hao, Yu Fu, Cathy Hsu, Xiang (Robert) Li, and Nan Chen, Introducing News Media Sentiment Analytics to Residents’ Attitudes Research, Journal of Travel Research (Journal Volume 59 and Issue 8) pp. 1353-1369. Copyright © 2019 (The Author(s)). DOI: 10.1177/0047287519884657en_US
dc.subjectHong kongen_US
dc.subjectMainland chinese touristsen_US
dc.subjectNews mediaen_US
dc.subjectResidents’ attitudesen_US
dc.subjectSentiment analysisen_US
dc.titleIntroducing news media sentiment analytics to residents’ attitudes researchen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1353en_US
dc.identifier.epage1369en_US
dc.identifier.volume59en_US
dc.identifier.issue8en_US
dc.identifier.doi10.1177/0047287519884657en_US
dcterms.abstractThe progress in sentiment analytics and communication research provides a powerful scaffold by which to reexamine the long-debated research on residents’ attitudes toward tourism. To mitigate the limitations of the classical survey-based research method, this study takes a news media sentiment analytics perspective to unveil how the residents’ attitudes toward tourism evolve over time and how socioeconomic factors interact with such evolving attitudes in the context of Hong Kong. Drawn on a news data set containing 72,755 news articles published in Chinese language newspapers, this study computes the overall news sentiments for 156 calendar months since 2003, examines the face validity and nomological validity of the results, and discusses the long-run dynamics between residents’ attitudes and typical socioeconomic factors. This study adds a vital dimension to current residents’ attitudes research and practices from data-scarce to data-rich studies and from static snapshots to dynamic unfolding.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of travel research, 1 Nov. 2020, v. 59, no. 8, p. 1353-1369en_US
dcterms.isPartOfJournal of travel researchen_US
dcterms.issued2020-11-
dc.identifier.scopus2-s2.0-85075131237-
dc.identifier.eissn1552-6763en_US
dc.description.validate202103 bcrcen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumbera0652-n02-
dc.description.fundingSourceRGCen_US
dc.description.fundingText155024/14Ben_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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