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Online Public Opinion During The RST Epidemic Wave of COVID-19 in China Based On Weibo Data by Daniel is a document available to read on EtoBox.

This study analyzes online public opinion during the first wave of COVID-19 in China using over 45 million Weibo posts. It employs a text emotion extraction method to identify emotional trends, revealing a significant rise in fear, particularly in Wuhan, during the epidemic

Author
Daniel
Language
EN