论文部分内容阅读
【目的/意义】Web3.0和自媒体时代的到来,我国网民数量不断激增,作为有限理性的网民群体,其舆论导向具有不可控性,所以运用演化博弈论的方法能够从根本上探究舆论演化传播机制和引导机制。【方法/过程】该文首先运用演化博弈的相关理论知识,分析了在没有政府惩罚机制下和有政府惩罚机制下网民群体(正确信息传播者与虚假信息传播者)的博弈关系并建立了双方的演化博弈模型,然后分析了在不同参数范围下网民群体网络舆论的演化规律,最后通过对假设数值进行计算仿真模拟分析得出相关结论和建议。【结果/结论】研究结果表明:网民群体(正确信息传播者与虚假信息传播者)的初始状态以及政府的惩罚机制的力度对网民舆论的引导及舆论走向起着至关重要的作用。
[Purpose / Significance] Web3.0 And since the advent of the media era, the number of netizens in our country has been on the rise. As a boundedly rational netizen community, the orientation of its media has an uncontrollable nature. Therefore, using evolutionary game theory can fundamentally explore the evolution of media Dissemination mechanism and guidance mechanism. 【Method / Process】 Firstly, using the relevant theoretical knowledge of evolutionary game, this paper analyzes the game relationship between the netizen community (the correct information disseminator and the false information disseminator) under the government punishment mechanism and the government punishment mechanism, and establishes the two sides Evolutionary game model, and then analyzes the evolution rule of Internet public opinion in different parameters. Finally, the author draws relevant conclusions and suggestions by calculating simulation and analysis of the hypothetical values. [Results / Conclusion] The results show that the initial state of netizens (the correct information disseminators and false information disseminators) and the punishment mechanism of the government play an important role in the guidance of netizens and the direction of public opinions.