ArticleJournal of medical Internet research2020
Health Communication Through News Media During the Early Stage of the COVID-19 Outbreak in China: Digital Topic Modeling Approach.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 2 of them syntheses that pooled it.
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Who cites it
94 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Examining Different Factors in Web-Based Patients' Decision-Making Process: Systematic Review on Digital Platforms for Clinical Decision Support System.International journal of environmental research and public health · 2021Pooled it
- Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature.Journal of medical Internet research · 2020Pooled it
- Quality and reliability of short videos about long COVID on bilibili and tiktok: cross-sectional study under health community construction background in China.BMC public health · 2026Article
- Quality and content evaluation of male HPV infection on Bilibili and TikTok: a cross-sectional study.Scientific reports · 2026Article
- Topic and Sentiment Trends in Semaglutide Discussions on X: Subpopulation-Based Longitudinal Analysis.Online journal of public health informatics · 2026Article
- The quality and reliability of short videos on acute myeloid leukemia on Bilibili and TikTok: A cross-sectional study.Medicine · 2026Article
- Psychological factors associated with Chinese users' adoption of AI-generated health education short videos: a PLS-SEM-ANN-IPMA study.Frontiers in psychology · 2026Article
- Group cognitive space of online rumors in public health emergencies: a theoretical and empirical study.Frontiers in public health · 2026Article
- Consistency Analysis of Practice Orientation of the Healthy Enterprise Program in China.BMC public health · 2025Article
- Analyzing Themes, Sentiments, and Coping Strategies Regarding Online News Coverage of Depression in Hong Kong: Mixed Methods Study.Journal of medical Internet research · 2025Article
- From print to perspective: A mixed-method analysis of the convergence and divergence of COVID-19 topics in newspapers and interviews.PLOS digital health · 2025Article
- Exploring the Determinants of Patient Experiences Using the Digital Topic Modeling Approach.Journal of nursing management · 2025Article
- Bridging the digital divide: Enhancing doctor-patient communication through digital media platforms.Journal of education and health promotion · 2025Article
- Research on the factors affecting the adoption of health short videos by the college students in China: unification based on TAM and UTAUT model.Frontiers in psychology · 2025Article
- Long COVID Discourse in Canada, the United States, and Europe: Topic Modeling and Sentiment Analysis of Twitter Data.Journal of medical Internet research · 2024Article
- Topic modeling and content analysis of people's anxiety-related concerns raised on a computer-mediated health platform.Scientific reports · 2024Article
- Clinician voices on ethics of LLM integration in healthcare: a thematic analysis of ethical concerns and implications.BMC medical informatics and decision making · 2024Article
- Newspaper Coverage of Hospitals During a Prolonged Health Crisis: Longitudinal Mixed Methods Study.JMIR public health and surveillance · 2024Article
- Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study.JMIR infodemiology · 2024Article
- The Pulse of Long COVID on Twitter: A Social Network Analysis.Archives of Iranian medicine · 2024Article
34 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn December 2019, a few coronavirus disease (COVID-19) cases were first reported in Wuhan, Hubei, China. Soon after, increasing numbers of cases were detected in other parts of China, eventually leading to a disease outbreak in China. As this dreadful disease spreads rapidly, the mass media has been active in community education on COVID-19 by delivering health information about this novel coronavirus, such as its pathogenesis, spread, prevention, and containment.
objectiveThe aim of this study was to collect media reports on COVID-19 and investigate the patterns of media-directed health communications as well as the role of the media in this ongoing COVID-19 crisis in China.
methodsWe adopted the WiseSearch database to extract related news articles about the coronavirus from major press media between January 1, 2020, and February 20, 2020. We then sorted and analyzed the data using Python software and Python package Jieba. We sought a suitable topic number with evidence of the coherence number. We operated latent Dirichlet allocation topic modeling with a suitable topic number and generated corresponding keywords and topic names. We then divided these topics into different themes by plotting them into a 2D plane via multidimensional scaling.
resultsAfter removing duplications and irrelevant reports, our search identified 7791 relevant news reports. We listed the number of articles published per day. According to the coherence value, we chose 20 as the number of topics and generated the topics' themes and keywords. These topics were categorized into nine main primary themes based on the topic visualization figure. The top three most popular themes were prevention and control procedures, medical treatment and research, and global or local social and economic influences, accounting for 32.57% (n=2538), 16.08% (n=1258), and 11.79% (n=919) of the collected reports, respectively.
conclusionsTopic modeling of news articles can produce useful information about the significance of mass media for early health communication. Comparing the number of articles for each day and the outbreak development, we noted that mass media news reports in China lagged behind the development of COVID-19. The major themes accounted for around half the content and tended to focus on the larger society rather than on individuals. The COVID-19 crisis has become a worldwide issue, and society has become concerned about donations and support as well as mental health among others. We recommend that future work addresses the mass media's actual impact on readers during the COVID-19 crisis through sentiment analysis of news data.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.