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COVID-19 Information Dissemination Using the WeChat Communication Index: Retrospective Analysis Study
Zina Fan1,2, Wenqiang Yin1,3, Han Zhang1,2
1School of Management, Weifang Medical University, Weifang, Shandong, China.
Journal of Medical Internet Research
|June 15, 2021
Summary
Analyzing COVID-19 information dissemination in China reveals that specific content types and formats significantly impact public reach. Understanding these factors is key for effective health communication during pandemics.
Area of Science:
- Public Health
- Health Communication
- Information Science
Background:
- The COVID-19 pandemic caused global societal and economic disruption.
- Accurate information dissemination is crucial for public education and preventive measures.
Purpose of the Study:
- To analyze COVID-19 information dissemination via the People's Daily WeChat account.
- To identify factors influencing information spread and inform public opinion management during pandemics.
Main Methods:
- Retrospective analysis of COVID-19 related articles from People's Daily WeChat (Jan 19 - May 2, 2020).
- Descriptive analysis of dissemination index and multiple linear regression to identify influencing factors.
Main Results:
- 1621 COVID-19 related articles were published, with seven dissemination peaks observed.
- Eight factors across media salience, content, and format influenced information spread.
Conclusions:
- Different information types possess varying dissemination power during pandemics.
- Effective strategies require disseminating high-concern topics, enhancing health literacy, and improving information governance.
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