With the rapid development of Internet technology,the number of Internet users is increasing year by year.Although the Internet provides netizens with a free and open space for communication,enabling them to express their opinions in the network space,the uncontrolled discussion of social events will also generate surging online public opinions.Social network public opinion has the characteristics of a long evolution process,extensive participation of the masses,and easy to intensify contradictions,so it is relatively difficult to control.This problem is not only reflected in the calm of public opinion,but also reflected in the alleviation of contradictions to solve social problems.If governments at all levels lack effective governance of social online public opinions,it is easy to reduce the credibility of the government and lead to the loss of people’s happiness and sense of security.Therefore,the analysis of the evolution law of social network public opinions and the induction of the influencing factors of their evolution are important basis for governments to govern social network public opinions,and also the main source of putting forward governance strategies.This paper firstly introduces the research background and significance,sorts out relevant researches on online public opinions at home and abroad.Therefore,the research content of this paper is the evolution and governance strategy of the social network public opinion.Secondly,this paper defines the concepts of network public opinion,network public opinion governance and government credibility,and sorts out the life cycle theory,cooperative governance theory and group polarization theory to lay a theoretical foundation for subsequent research.After further analyzing the development and governance status of social network public opinions,this paper selects "Tangshan beating Event" as a typical case for subsequent research.The data of microblog related to the event is obtained by using web crawler method,and public opinion evolved from the event is divided into stages according to the life cycle theory.In the stage of theme evolution,LDA theme model was used to calculate the degree of text confusion at each stage and extract the best theme at each stage.In the stage of emotion evolution,Snow NLP emotion analysis model was used to calculate the emotion score of netizens in daily text data,judge the trend of netizens’ emotions at each stage,and summarize the emotion evolution rule.Finally,the grounded theory is used to analyze the influencing factors of public opinion evolution,build the influencing factor model of public opinion evolution,expand the story line and discuss the mediating role of government credibility in it.Through the above research,the paper draws a total of three research conclusions.First,the evolution of social network public opinion has phased characteristics in terms of popularity,theme and emotion.Second,the government,netizens,the media and the events themselves are the main factors affecting the evolution of social network public opinion.Third,social network public opinion governance should formulate social network public opinion governance principles according to the types and characteristics of public opinion,establish a full-cycle social network public opinion governance mechanism,promote the collaborative governance of social network public opinion,constantly improve the construction of the government image,and enhance the government credibility. |