The Discourse Framework and Dynamic Mechanism of The Coronavirus Rumors in China—Content Analysis Based on 720 Disinformation

Abstract

On the eve of the 2020 Spring Festival, China has experienced the largest public health security incident. This study uses content analysis to study the discourse framework and dynamic mechanism of rumors during the epidemic. This study analyzes the content, emotion and rhetoric of the epidemic rumors in the three platforms of wechat public platform "@ Lilac Garden", "@ Internet Joint Rumor Refutation" and "Qingbo Big Data". Since the outbreak of the epidemic, as of March 1, we have collected a total of 943 pieces of anti rumors information, and classified them into virus prevention, epidemic information, public life, sensitive information and international information. From an emotional point of view, the rumors is still negative rumors accounted for the main body, neutral as a supplement, the number of positive rumors is very small. Among them, the number of negative rumors in the epidemic information category is the largest. Rhetorically, it is characterized by authority blessing and fear appeal.