Research On The Formation Mechanism And Governance Of We-Media Network Public Opinion Group Polarization

With the development of mobile Internet technology,the emergence of new social networks represented by self-media like bamboo shoots after the rain has given birth to a large number of mobile network client apps,including microblog,WeChat,some selfmedia platforms,such as forums,provide channels and places for self-media netizens to speak freely.Netizens can freely express their views on public events,current situation or phenomena,etc,or debate with the dissident.At the same time,with the popularization of these interactive self-media platforms,some potential problems are highlighted.In the self-media social network,every netizen is the producer and disseminator of public opinion,and the public opinion is formed quickly,with high popularity of topics and high guidance of leaders’ opinions,if some hot topics are not guided,it is easy to form an unfavorable public opinion environment,thus causing social unrest,for example,in some major public opinion events,due to the high attention paid by netizens,these events are fermented rapidly in the self-media network platform,and group polarization events are formed.Some ideological extreme people,cynics and conspirators induce the trend of public opinion,and even some people take the opportunity to spread rumors and false information to mislead the netizens who don’t know the truth,thus causing social tear and opposition,causing extremely bad influence.Therefore,it is of great significance to study the formation mechanism of self-media network public opinion group polarization to purify the public opinion atmosphere and maintain social stability and unity.Based on various disciplines such as New Communication Science,Internet Technology,Information Technology,System Science and Management Science,and combining various models and methods,this thesis focuses on the formation mechanism of self-media network public opinion group polarization,this thesis discusses the generation mechanism of self-media network public opinion group polarization,analyzes the dynamic principle and dynamic mechanism of self-media network public opinion group polarization,and constructs the evaluation mechanism system of self-media network public opinion group polarization,in addition,a variety of cross-synthesis models are adopted to carry out empirical evaluation on the degree of group polarization of self-media network public opinion.On this basis,the governance mechanism of group polarization of self-media network public opinion is designed.The main research contents of this thesis are as follows:First of all,it analyzes the subject-object relationship of self-media network public opinion and its "soft and hard" space,and analyzes its evolution and development process.Based on the perspective of System Theory,this thesis regards the self-media network public opinion platform as a complex large system,defines its subject-object category,and analyzes the relationship between the two,and the characteristics of subject and object are summarized;At the same time,the spatial structure of self-media network public opinion is effectively divided,this thesis explores the "soft and hard" spatial structure and its characteristics of self-media network public opinion.On this basis,the Life Cycle Theory is adopted to deeply analyze the evolution stage of the self-media network public opinion,and the Logistic model is adopted to conduct an empirical simulation study on the evolution process of the self-media network public opinion dissemination.Secondly,it deconstructs the generation mechanism of group polarization of selfmedia network public opinion.Based on the relationship between subject and object of the self-media network public opinion and its spatial structure,this thesis starts with the generation motivation of the self-media network public opinion,and puts forward the generation focus mechanism of the self-media network public opinion,in addition,the diffusion mechanism of public opinion is deeply studied,and the diffusion mechanism and its effects are analyzed.On this basis,it analyzes the spiral rising mode of self-media network public opinion,analyzes the types of group polarization,and analyzes the superposition effect and expansion effect of group polarization.At the same time,the generation model of self-media network public opinion group polarization is constructed,and the generation mechanism of self-media network public opinion group polarization is simulated and studied by using Netlogo simulation system.Then,it deconstructs the dynamic mechanism of group polarization of self-media network public opinion.Self-media network public opinion is based on the popularization of wireless mobile Internet technology and smart phones,and has the characteristics of complexity,variability and timeliness.On the basis of clarifying the semantic space concept of self-media network public opinion,this thesis analyzes the composition,external form and diffusion mode of its semantic space,and deconstructs the interactive mechanism of the semantic space of self-media network public opinion;on this basis,the thesis analyzes the elements and hierarchical structure of the semantic space of the selfmedia network public opinion,analyzes the influencing factors and evolution path of the group polarization of the self-media network public opinion,deconstruct the dynamic mechanism of group polarization of media network public opinion,and use System Dynamics(System Dynamics,SD)method to simulate and analyze its dynamic mechanism.At the same time,the sensitivity analysis of the main influencing factors was carried out.Fourthly,the evaluation mechanism of group polarization of self-media network public opinion is constructed.On the basis of establishing the Entropy model of the selfmedia network public opinion system,the Entropy Method(Entropy Method,EM)is adopted to evaluate the disorder degree of the self-media network public opinion dissemination system;Then,using Double-Chain Quantum Genetic Algorithm(Double Chain Quantum Genetic Algorithm,DCQGA)to improve the Projection Pursuit Model(Projection Pursuit Model,PPM),and construct the evaluation Model of the popularity level of the media network public opinion,and this model is adopted for empirical simulation analysis;On this basis,the energy measurement model of the polarization degree of the self-media network public opinion Group is constructed.Meanwhile,the empirical simulation evaluation is carried out by taking "Hangzhou Women’s missing case" as an example,the feasibility and scientificity of the energy model are verified.Finally,based on the previous theoretical research and empirical simulation analysis,combined with the current actual situation of the media network public opinion dissemination and social needs,this thesis from the media network public opinion emergency management mechanism,the monitoring technology system,governance guarantee system and other aspects have established a set of complete and scientific governance mechanism of self-media network public opinion group polarization,in order to provide reference for the diversion and governance of the polarization problem of the self-media network public opinion Group.The innovative work of this thesis is mainly reflected in the following aspects.Firstly,taking "Dushan County Image Project in Guizhou" as an example,we summarize the main features of the spatial structure of self-media online public opinion and construct a life-cycle law of the evolution of self-media online public opinion dissemination based on a logistic model.Secondly,the causes,effects and types of group polarization of self-media online public opinion are explored through an empirical deconstruction of the focusing mechanism of self-media online public opinion.Further,the empirical simulation research framework is constructed to analyze the effects of different power sources on the evolutionary stages by dividing the dynamics of group polarization of self-media online opinion into two levels:endogenous dynamics and exogenous dynamics.Finally,the entropy(EM)model,the double-chain quantum genetic projection tracing model and the self-media network opinion group polarization energy measurement model are organically combined and integrated with innovation to provide an in-depth analysis of the peak change law of public opinion.Through empirical evaluation,the scientificity and reliability of the model are verified,which effectively complements the existing research methods on self-media network public opinion.