ArticleInternational journal of environmental research and public health2021
Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Identifying themes of protective behavioral strategies for marijuana use with structural topic modeling.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026Article
- Decisions about risk taking: Elaborate dynamics between guests and hosts of peer-to-peer accommodation during COVID-19.PloS one · 2026Article
- User feedback on the NHS test & Trace Service during COVID-19: The use of machine learning to analyse free-text data from 37,914 England adults.Public health in practice (Oxford, England) · 2023Article
- News Coverage of Face Masks in Australia During the Early COVID-19 Pandemic: Topic Modeling Study.JMIR infodemiology · 2023Article
- Constructing big data prevention and control model for public health emergencies in China: A grounded theory study.Frontiers in public health · 2023Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Media plays an important role in the acquisition of health information worldwide. This was particularly evident in the face of the COVID-19 epidemic. Relatedly, it is practical and desirable for people to wear masks for health, fashion, and religious regions. However, depending on cultural differences, people naturally accept wearing a mask, or they look upon it negatively. In 2020, the COVID-19 pandemic led to widespread mask-wearing mandates worldwide. In the case of COVID-19, wearing a mask is strongly recommended, so by analyzing the news data before and after the spread of the epidemic, it is possible to see how the direction of crisis management is being structured. In particular, by utilizing big data analysis of international news data, discourses around the world can be analyzed more deeply. This study collected and analyzed 58,061 international news items related to mask-wearing from 1 January 2019 to 31 December 2020. The collected dataset was compared before and after the World Health Organization's pandemic declaration by applying structural topic model analysis. The results revealed that prior to the declaration, issues related to the COVID-19 outbreak were emphasized, but afterward, issues related to movement restrictions, quarantine management, and local economic impacts emerged.
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Registered trials
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.