Research On The Generation And Effect Of Social Media’s Anti-rumor In Enterprise Public Opinion Events

With the development of the Internet,more and more users use social media to obtain information.However,due to the low barriers to entry of social media and the incomplete monitoring mechanism,a large number of rumors have also emerged.Especially in corporate public opinion incidents,a large number of rumors will be generated,and due to the lack of relevant resources and ability to dispel rumors,there are still certain difficulties in handling this type of rumors.The outbreak of these rumors will not only affect the company’s own operating conditions,but also affect the stability and harmony of society and the country.Therefore,by studying the generation and effect of social media’s anti-rumor in corporate public opinion incidents,it provides relevant suggestions for enterprises to respond to public opinion incidents.Not only should the quality of corporate’s anti-rumor be improved,but also multiple groups should be stimulated to jointly refute rumors and maximize the effect of anti-rumor.It firstly sorts out the relevant literature,clarifies the research objects,analyzes the research status of corporate public opinion research and the influencing factors of the rumor rejection effect;secondly draws on the current research on the generation and dissemination mechanism of rumors,based on actor network theory and life cycle theory,combined with related The company’s public opinion data researches the generation process of rumor-refuting information in social media and the network of actors,and then explores the generation of rumor-refuting information in corporate public opinion events;then it studies the influence of the textual characteristics of social media anti-rumor information on the effect of rumor-refuting,through statistical analysis methods,Study the influence of different characteristics on the rumor refutation effect index;finally consider the influence of social media user information behavior on the rumor refutation effect of social media,construct an evolutionary game model of user information behavior selection strategy,and perform model solution and model stability analysis respectively,and reuse Matlab conducts parameter simulation and analyzes the influence of different parameters on the effect of social media’s rumor rejection.The research results show that: 1.The social media anti-rumor information in corporate public opinion events will show different generation processes and actor networks at different stages,and the form and content of the anti-rumor information,release situation,and influence will also show different characteristics in different time periods.2.Among the characteristics of the information text content that affect the effect of social media’s rumor refutation,different types of rumor refuting information have different effects.The emotional level of rumor refuting information has a significant positive relationship with the number of reposts.The richer the display of rumor refuting information,the greater the number of comments.Many,but the impact on the number of forwarding is not so.Whether there is an @ symbol in the rumor-refuting information has a significant negative impact on the guiding effect.3.User information behavior will also have a certain impact on the effectiveness of social media’s rumor refutation,which is specifically reflected in the user’s trust in rumor information and rumor refuting information,user anxiety,the probability of users seeking verification from authorities,the possibility of users ignoring rumors,and In terms of the possibility of users questioning rumors,these parameters all affect the effectiveness of social media to dispel rumors to a certain extent.Finally,based on the above research results,we propose strategies and suggestions that are conducive to enterprises’ response to public opinion,and provide corresponding theoretical support for the guidance of corporate public opinion events.