Introducing News Media Sentiment Analytics to Residents’ Attitudes Research
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 analy...
Gespeichert in:
Veröffentlicht in: | Journal of travel research 2020-11, Vol.59 (8), p.1353-1369 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1369 |
---|---|
container_issue | 8 |
container_start_page | 1353 |
container_title | Journal of travel research |
container_volume | 59 |
creator | Hao, Jin-Xing Fu, Yu Hsu, Cathy Li, Xiang (Robert) Chen, Nan |
description | 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. |
doi_str_mv | 10.1177/0047287519884657 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2448829821</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sage_id>10.1177_0047287519884657</sage_id><sourcerecordid>2448829821</sourcerecordid><originalsourceid>FETCH-LOGICAL-c366t-83fdfff235be0d3b1c50f121246497d2d17551872846446dc36e42a334ac7a403</originalsourceid><addsrcrecordid>eNp1UMtKAzEUDaJgre5dBlyP5p3MshQfhVbBx3pIk0xNaWdqkkG68zf8Pb_EDCMIgpt74dxzzr33AHCO0SXGUl4hxCRRkuNSKSa4PAAjzDkphBT0EIz6cdHPj8FJjGuEEGYUj8Bi1qTQ2s74ZgXv3XuEC2e9hk-uSX6bC5w0erNP3kSYWvjoorcZjV8fn3CSkk-ddbGHnQ7m9RQc1XoT3dlPH4OXm-vn6V0xf7idTSfzwlAhUqFobeu6JpQvHbJ0iQ1HNSaYMMFKaYnFknOs8j8ZYMJmlWNEU8q0kZohOgYXg-8utG-di6lat13Ih8aKMKYUKRXBmYUGlgltjMHV1S74rQ77CqOqD636G1qWwEHiTNv4-CuQVHGFWNnvLgZK1Cv3u_dfy283wnXy</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2448829821</pqid></control><display><type>article</type><title>Introducing News Media Sentiment Analytics to Residents’ Attitudes Research</title><source>Access via SAGE</source><creator>Hao, Jin-Xing ; Fu, Yu ; Hsu, Cathy ; Li, Xiang (Robert) ; Chen, Nan</creator><creatorcontrib>Hao, Jin-Xing ; Fu, Yu ; Hsu, Cathy ; Li, Xiang (Robert) ; Chen, Nan</creatorcontrib><description>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.</description><identifier>ISSN: 0047-2875</identifier><identifier>EISSN: 1552-6763</identifier><identifier>DOI: 10.1177/0047287519884657</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Attitudes ; News media ; Residents ; Socioeconomic factors ; Tourism</subject><ispartof>Journal of travel research, 2020-11, Vol.59 (8), p.1353-1369</ispartof><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-83fdfff235be0d3b1c50f121246497d2d17551872846446dc36e42a334ac7a403</citedby><cites>FETCH-LOGICAL-c366t-83fdfff235be0d3b1c50f121246497d2d17551872846446dc36e42a334ac7a403</cites><orcidid>0000-0002-7948-6802 ; 0000-0003-4858-5629 ; 0000-0002-9097-7477</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0047287519884657$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0047287519884657$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids></links><search><creatorcontrib>Hao, Jin-Xing</creatorcontrib><creatorcontrib>Fu, Yu</creatorcontrib><creatorcontrib>Hsu, Cathy</creatorcontrib><creatorcontrib>Li, Xiang (Robert)</creatorcontrib><creatorcontrib>Chen, Nan</creatorcontrib><title>Introducing News Media Sentiment Analytics to Residents’ Attitudes Research</title><title>Journal of travel research</title><description>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.</description><subject>Attitudes</subject><subject>News media</subject><subject>Residents</subject><subject>Socioeconomic factors</subject><subject>Tourism</subject><issn>0047-2875</issn><issn>1552-6763</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp1UMtKAzEUDaJgre5dBlyP5p3MshQfhVbBx3pIk0xNaWdqkkG68zf8Pb_EDCMIgpt74dxzzr33AHCO0SXGUl4hxCRRkuNSKSa4PAAjzDkphBT0EIz6cdHPj8FJjGuEEGYUj8Bi1qTQ2s74ZgXv3XuEC2e9hk-uSX6bC5w0erNP3kSYWvjoorcZjV8fn3CSkk-ddbGHnQ7m9RQc1XoT3dlPH4OXm-vn6V0xf7idTSfzwlAhUqFobeu6JpQvHbJ0iQ1HNSaYMMFKaYnFknOs8j8ZYMJmlWNEU8q0kZohOgYXg-8utG-di6lat13Ih8aKMKYUKRXBmYUGlgltjMHV1S74rQ77CqOqD636G1qWwEHiTNv4-CuQVHGFWNnvLgZK1Cv3u_dfy283wnXy</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Hao, Jin-Xing</creator><creator>Fu, Yu</creator><creator>Hsu, Cathy</creator><creator>Li, Xiang (Robert)</creator><creator>Chen, Nan</creator><general>SAGE Publications</general><general>SAGE PUBLICATIONS, INC</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0002-7948-6802</orcidid><orcidid>https://orcid.org/0000-0003-4858-5629</orcidid><orcidid>https://orcid.org/0000-0002-9097-7477</orcidid></search><sort><creationdate>20201101</creationdate><title>Introducing News Media Sentiment Analytics to Residents’ Attitudes Research</title><author>Hao, Jin-Xing ; Fu, Yu ; Hsu, Cathy ; Li, Xiang (Robert) ; Chen, Nan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-83fdfff235be0d3b1c50f121246497d2d17551872846446dc36e42a334ac7a403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Attitudes</topic><topic>News media</topic><topic>Residents</topic><topic>Socioeconomic factors</topic><topic>Tourism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hao, Jin-Xing</creatorcontrib><creatorcontrib>Fu, Yu</creatorcontrib><creatorcontrib>Hsu, Cathy</creatorcontrib><creatorcontrib>Li, Xiang (Robert)</creatorcontrib><creatorcontrib>Chen, Nan</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>Journal of travel research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hao, Jin-Xing</au><au>Fu, Yu</au><au>Hsu, Cathy</au><au>Li, Xiang (Robert)</au><au>Chen, Nan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Introducing News Media Sentiment Analytics to Residents’ Attitudes Research</atitle><jtitle>Journal of travel research</jtitle><date>2020-11-01</date><risdate>2020</risdate><volume>59</volume><issue>8</issue><spage>1353</spage><epage>1369</epage><pages>1353-1369</pages><issn>0047-2875</issn><eissn>1552-6763</eissn><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.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.1177/0047287519884657</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-7948-6802</orcidid><orcidid>https://orcid.org/0000-0003-4858-5629</orcidid><orcidid>https://orcid.org/0000-0002-9097-7477</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0047-2875 |
ispartof | Journal of travel research, 2020-11, Vol.59 (8), p.1353-1369 |
issn | 0047-2875 1552-6763 |
language | eng |
recordid | cdi_proquest_journals_2448829821 |
source | Access via SAGE |
subjects | Attitudes News media Residents Socioeconomic factors Tourism |
title | Introducing News Media Sentiment Analytics to Residents’ Attitudes Research |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-04T10%3A58%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Introducing%20News%20Media%20Sentiment%20Analytics%20to%20Residents%E2%80%99%20Attitudes%20Research&rft.jtitle=Journal%20of%20travel%20research&rft.au=Hao,%20Jin-Xing&rft.date=2020-11-01&rft.volume=59&rft.issue=8&rft.spage=1353&rft.epage=1369&rft.pages=1353-1369&rft.issn=0047-2875&rft.eissn=1552-6763&rft_id=info:doi/10.1177/0047287519884657&rft_dat=%3Cproquest_cross%3E2448829821%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2448829821&rft_id=info:pmid/&rft_sage_id=10.1177_0047287519884657&rfr_iscdi=true |