Residential College | false |
Status | 已發表Published |
Obesity-related communication in digital chinese news from ainland china, hong kong, and taiwan: Automated content analysis | |
Chang, Angela1,2; Schulz, Peter Johannes2; Jiao, Wen1; Liu, Matthew Tingchi3 | |
2021-11-01 | |
Source Publication | JMIR Public Health and Surveillance |
ISSN | 2369-2960 |
Volume | 7Issue:11 |
Abstract | Background: The fact that the number of individuals with obesity has increased worldwide calls into question media efforts for informing the public. This study attempts to determine the ways in which the mainstream digital news covers the etiology of obesity and diseases associated with the burden of obesity. Objective: The dual objectives of this study are to obtain an understanding of what the news reports on obesity and to explore meaning in data by extending the preconceived grounded theory. Methods: The 10 years of news text from 2010 to 2019 compared the development of obesity-related coverage and its potential impact on its perception in Mainland China, Hong Kong, and Taiwan. Digital news stories on obesity along with affliction and inferences in 9 Chinese mainstream newspapers were sampled. An automatic content analysis tool, DiVoMiner was proposed. This computer-aided platform is designed to organize and filter large sets of data on the basis of the patterns of word occurrence and term discovery. Another programming language, Python 3, was used to explore connections and patterns created by the aggregated interactions. Results: A total of 30,968 news stories were identified with increasing attention since 2016. The highest intensity of newspaper coverage of obesity communication was observed in Taiwan. Overall, a stronger focus on 2 shared causative attributes of obesity is on stress (n=4483, 33.0%) and tobacco use (n=3148, 23.2%). The burdens of obesity and cardiovascular diseases are implied to be the most, despite the aggregated interaction of edge centrality showing the highest link between the "cancer" and obesity. This study goes beyond traditional journalism studies by extending the framework of computational and customizable web-based text analysis. This could set a norm for researchers and practitioners who work on data projects largely for an innovative attempt. Conclusions: Similar to previous studies, the discourse between the obesity epidemic and personal afflictions is the most emphasized approach. Our study also indicates that the inclination of blaming personal attributes for health afflictions potentially limits social and governmental responsibility for addressing this issue. |
Other Abstract |
|
Keyword | Computational Content Digital Research Methods Gene Disorders Noncommunicable Disease Obesity Discourse Public Health |
DOI | 10.2196/26660 |
URL | View the original |
Indexed By | SSCI |
Language | 英語English |
WOS Research Area | Public ; Environmental & Occupational Health |
WOS Subject | Public, Environmental & Occupational Health |
WOS ID | WOS:000738935100006 |
Publisher | JMIR PUBLICATIONS, INC, 130 QUEENS QUAY E, STE 1102, TORONTO, ON M5A 0P6, CANADA |
Scopus ID | 2-s2.0-85120172171 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | University of Macau |
Affiliation | 1.Faculty of Social Sciences, University of Macau, Taipa, Macao 2.Institute of Communication and Health, University of Lugano, Lugano, Switzerland 3.Faculty of Business Administration, University of Macau, Taipa, Macao |
First Author Affilication | Faculty of Social Sciences |
Recommended Citation GB/T 7714 | Chang, Angela,Schulz, Peter Johannes,Jiao, Wen,et al. Obesity-related communication in digital chinese news from ainland china, hong kong, and taiwan: Automated content analysis[J]. JMIR Public Health and Surveillance, 2021, 7(11). |
APA | Chang, Angela., Schulz, Peter Johannes., Jiao, Wen., & Liu, Matthew Tingchi (2021). Obesity-related communication in digital chinese news from ainland china, hong kong, and taiwan: Automated content analysis. JMIR Public Health and Surveillance, 7(11). |
MLA | Chang, Angela,et al."Obesity-related communication in digital chinese news from ainland china, hong kong, and taiwan: Automated content analysis".JMIR Public Health and Surveillance 7.11(2021). |
Files in This Item: | There are no files associated with this item. |
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment