Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89398
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Title: Introducing news media sentiment analytics to residents’ attitudes research
Authors: Hao, JX
Fu, Y
Hsu, C 
Li, X
Chen, N 
Issue Date: Nov-2020
Source: Journal of travel research, 1 Nov. 2020, v. 59, no. 8, p. 1353-1369
Abstract: The 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.
Keywords: Hong kong
Mainland chinese tourists
News media
Residents’ attitudes
Sentiment analysis
Publisher: SAGE Publications
Journal: Journal of travel research 
ISSN: 0047-2875
EISSN: 1552-6763
DOI: 10.1177/0047287519884657
Rights: This 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: 10.1177/0047287519884657
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