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Self-Purification Mechanism Of Micro-Blog Rumors’ Optimization Research

Posted on:2017-03-02Degree:MasterType:Thesis
Country:ChinaCandidate:Z H ZhangFull Text:PDF
GTID:2308330485479865Subject:Business management
Abstract/Summary:PDF Full Text Request
In recent years, micro-blog is springing up like bamboo shoots with the rapid development of the Web2.0 technology. Micro-blog provides a free information sharing platform for the user. But there are also many problems with the development of micro-blog. Micro-blog has become filled with a flood of rumors. Rumor propagation can cause serious influence, such as public panic, social disarray, economic loss and outbreak of emergencies. Therefore, it is very important to research the self-purification mechanism of micro-blog rumors and present the strategies of improving the self-purification effect of micro-blog rumors. In order to enhance the self-purification effect of micro-blog rumors and exert the self-purification function of the micro-blog rumors, on the basis of the infectious disease model this paper build micro-blog rumor propagation model considering the skepticism mechanism and integrating use of sociology, cognitive psychology and dynamics of infectious diseases multidisciplinary theoretical knowledge. Giving the corresponding average field equation, using Matlab numerical simulation and solving the rumor propagation threshold, this paper verify that the self-purification of micro-blog rumors can be achieved by comparing the results with the infectious diseases(ISR) model simulation results.Then this paper studies the self-purification effect of micro-blog rumor. Due to the impact of the degree of users’ engagement, the influence of information’s publisher, the logic of purifying rumor information and so on, the self-purification effect of micro-blog rumors is not good in practice. Optimizing the micro-blog rumor propagation model considering the skepticism mechanism,this paper bulids the micro-blog rumor propagation model considering the degree of users’ engagement and the influence of information’s publisher,using Matlab numerical simulation. The simulation results show that the degree of users’ engagement directly affects the speed of the self-purification and the self-purification effect of micro-blog rumors. The micro-blog opinion leaders’ joining can increase the speed of the self-purification and expand the self-purification range. But the truth that ordinary users publish is hard to attract attention from other users as it is compared to rumors. So the truth can’t spread wide and the self-purification effect of micro-blog rumors is not good. If micro-blog opinion leaders involved in the spread of rumors, they will affect more users participate in rumor propagation, even affect part users that spread the truth and hibernators. They have seriously hindered the propagation of the truth. The self-purification mechanism of micro-blog rumors and forgetting mechanism can’t play their due roles,eventually lead to rumor propagation quickly and wide.Finally, based on the above research, this paper from the perspective of micro-blog users, micro-blog platform, government, traditional media and news web site, proposing corresponding strategies in order to enhance the self-purification effect of micro-blog rumors.
Keywords/Search Tags:micro-blog rumors, self-purification mechanism, opinion leaders, optimization strategy
PDF Full Text Request
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