| Due to the low threshold of information release,fast transmission speed and unsound audit mechanism on social networks,many kinds of bad information such as vulgar obscenity,online gambling and rumor spread widely,which has a negative impact on the ecosystem of cyberspace.This thesis starts from three directions:bad information definition,evolution mechanism of communication and monitoring methods,explores the problems of bad information governance in social networks,improves bad information governance system of social networks,and provides feasible suggestions on bad information governance of social networks.The main contents and results of the research are as follows:1.Study the grading system of bad information in social networks.Through literature research method and factor analysis method,summarize the main types and manifestations of bad information in social networks.The bad information is divided from three dimensions of influence object,influence degree and performance degree.The grading system is constructed to provide a basis for the fine management of bad information in social networks.2.Construct the competitive propagation model of bad information in social networks.Take rumor events as the object,and describe the propagation evolution process of bad information and restrained information through empirical research.Factor analysis was used to study the influence of netizen literacy and network node contact environment on the process of competitive dissemination.SIR Model was improved to build a competitive dissemination model.Simulation experiments and sensitivity analysis were conducted to show the influence of different factors on the process of competitive dissemination.3.Build a probabilistic language evaluation model of bad information in social networks.Analyze the evaluation factors of bad information,establish evaluation indicators,and adopt probabilistic language multi-attribute decision-making method to build a probabilistic language evaluation model of bad information.This model can calculate the ranking of the harm degree of the bad information set and provide the priority reference for the management of bad information review.4.Put forward suggestions on bad information governance in social networks.Based on the research results of bad information grading system,competitive propagation model and probabilistic language evaluation model,put forward key measures and measures for bad information governance from the perspectives of government,network platform enterprises,network information producers and users,and form comprehensive suggestions on social network information ecological governance. |
