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Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance study
- Researchers conducted both quantitative and qualitative analyses of Weibo posts about Covid-19 to see if they’re indicative or even predictive of the number of cases reported and study the most commonly discussed Covid-19-related topics on Weibo
- Sina Weibo is the Chinese equivalent of Twitter and is largely used to share all sorts of content
- Weibo users’ discussions and perceptions altered with the release of new information
- There is a positive correlation between Weibo posts about Covid-19 and the number of cases officially reported in Wuhan at the beginning of the pandemic, meaning that Weibo posts can be used as a measure of changes in case counts
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Updated 2021-04-08
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CSCW (Computer-supported cooperative work)
Computing Sciences
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Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance study methodology
Data mining and content analysis of the Chinese social media platform Weibo during the early COVID-19 outbreak: retrospective observational infoveillance study