The Risk Of ASF Weibo's Reports Shows The Impact On Public Risk Perception

"African Swine Fever"(ASF)is a severe infectious disease that poses a serious hazard to pigs.It was discovered in 1921 by the Uganda government veterinary consultant R.Eustace Montgomery in Kenya,and was named "ASF".After nearly a hundred years of spread,in August 2018,Shenyang,Liaoning Province,broke out of China's first imported ASF epidemic.German sociologist Ulrich Beck believes that China has entered a highly risky society.With the decline of the influence of traditional media,the media,especially the social media represented by Sina Weibo,has become more and more obvious in the social amplificatiaon of risk framework(SARF)and the perception of the public risk level.Based on the above realistic and theoretical development trends,This paper focuses on the topic“The impact of the risk of ASF microblogging on the perception of public risk level".The research sample has been published since the outbreak of the ASF epidemic in China from August 2018 to March 1st,2019,and the official comments of the official media and non-official media on Sina's official Weibo.Among them,the official media and non-official media's Sina-certified Based on the theory of social enlargement of the risks of the Caspersen couple,the differences between the role of official and unofficial media in the social amplification framework of risk are studied.The risk analysis of the microblog report is analyzed based on Paul Slovic's risk perception theory model.From the two dimensions of Dread and Unknown,the related microblogs are examined.The information sent by the content of the report(Dread):whether the epidemic is controllable,the severity of the reported incident,whether the spread is widespread,whether it is fatal,whether it is persistent,whether it is high or not,whether there is risk accumulation,etc.;(Unknown):Whether the virus can be detected,whether it is a known disease,whether it is rapid,whether it is scientifically known,or whether it is familiar to the public.The above factors are set as independent variables.This thesis will use the ROST virtual learning team of Wuhan University to develop the sentiment analysis function in ROSTCM6 software,measure the negative emotions of the popular comment samples under the relevant microblog reports to measure the level of risk level perception,and combine the relevant theories to divide the public's risk perception degree.For the four levels of negligible,acceptable,tolerable,unacceptable,the degree of risk level perception is the dependent variable.Statistical analysis of statistical data was performed by SPSS software,using Spearman correlation analysis and multiple logistic regression analysis.The results of the study show that the attributes of Weibo,that is,the official and non-official influences on the public's level of risk perception are not obvious,and the microblog reports the "Unknown"dimension of the information in the Unknown Dimension.Risk level perception level perception has a profound impact.