Government Information Dissemination During Public Health Emergencies: An Analysis of China's Experiences.
Front Public Health
; 10: 748236, 2022.
Article
in English
| MEDLINE | ID: covidwho-1785431
ABSTRACT
Information disclosure is crucial in China's official response to the COVID-19 pandemic. Since the early phase of the pandemic, the government's method of communication has relied heavily upon its analysis of information disclosed during past public health emergencies. This approach was proposed to better inform and prepare citizens during the crisis. This study aimed to study the effectiveness of China's information disclosure by examining themes, interconnection, and timeliness of information as posted on the Weibo microblogging platform between January and April 2020. The Latent Dirichlet Allocation (LDA) topic model analysis for social networks revealed six main characteristics including a shift from 'scattered' to 'focused' communication. Three main themes surrounding experience were highlighted, namely social governance, medical expertise, and encouragement, although experiential knowledge disclosure was timelier than other topics. This study broadens the dimension and scope of empirical theory by examining government information disclosure practices and provides a reference for further research.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Social Media
/
COVID-19
Type of study:
Observational study
/
Qualitative research
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Front Public Health
Year:
2022
Document Type:
Article
Affiliation country:
Fpubh.2022.748236
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