| 基于竞争性信息传播模型的信息失真治理研究 |
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| 引用本文： | 张彬,黄莹莹,石佩霖. 基于竞争性信息传播模型的信息失真治理研究[J]. 中国管理科学, 2021, 29(2): 237-248. DOI: 10.16381/j.cnki.issn1003-207x.2020.1138 |
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| 作者姓名： | 张彬 黄莹莹 石佩霖 |
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| 作者单位： | 北京邮电大学经济管理学院, 北京 100876 |
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| 基金项目： | 国家社会科学基金资助重大专项项目（18VZL010） |
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| 摘 要： | 网络谣言是由信息失真产生的不良信息，本文从微博社交网络谣言事件传播演化一般过程出发，研究谣言信息与辟谣信息的竞争传播过程，基于SIR模型进行改进，从系统动力学视角构建谣言信息和辟谣信息的竞争传播模型，并使用Anylogic软件实现模型仿真。实验表明，网民素养较高时，谣言信息的传播规模显著萎缩。节点接触环境中辟谣信息的接触权重较大时，能有效抑制谣言的传播。进而总结了研究的理论意义和实践意义，提出了提高网民素质、对网络节点的接触环境进行调控等网络空间不良信息治理建议。
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| 关 键 词： | 信息失真 微博谣言 系统动力学 竞争传播模型 网络空间治理 |
| 收稿时间： | 2020-06-14 |
| 修稿时间： | 2020-08-12 |
Study on Governance of Information Distortion Based on Competitive Information Dissemination Model |
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| ZHANG Bin,HUANG Ying-ying,SHI Pei-lin. Study on Governance of Information Distortion Based on Competitive Information Dissemination Model[J]. Chinese Journal of Management Science, 2021, 29(2): 237-248. DOI: 10.16381/j.cnki.issn1003-207x.2020.1138 |
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| Authors: | ZHANG Bin HUANG Ying-ying SHI Pei-lin |
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| Affiliation: | School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | Rumor informationon the internet is typically bad information generated by information distortion. As with the expansion of social network users, the governance of bad information on the internet has become an important issue that needs to be addressed urgently.Therefore, taking the Weibo rumor event as a specific research object, the competitive dissemination process of rumor information and repelling information is focused on. Six factors related to the competitive dissemination process are explored: the dissemination rate of rumor information β1,the dissemination rate of repelling information β2,one-way replacement rate θ,the effective contact weight of rumor information dissemination process wA, the effective contact weight of repelling informationdissemination process wB, the effective contact weight of one-way replacement processes wC.Studies on targeted regulation of such factors are carried out and governance policies on internet bad information are designed.Based on literature and empirical research, the SIR infectious disease model is used and improved in this paper. The six factors described above are included in the model to incorporate the effects of user literacy and network contact environment. Combined with the mean field theory, the competitive dissemination model of rumor events is established from the perspective of system dynamics by mathematical modeling method.The model simulation method can visualize abstract mathematical equations. Anylogic simulation modeling tool is therefore used to carry out simulation experiments in this paper. Six situations of competitive dissemination of rumor information and repelling information are simulated. The influences of different parameters on the competitive dissemination process are fully revealed through simulation experiments and parameter sensitivity analysis.After analysis,the one-way replacement relationship between user states is found and is added in the simulation experiments. The experiments show that β2 and wB are the key control factors. Flexible regulation of those indicators could help improve the effectiveness of bad information governance. Furthermore, policy suggestions to improve the network literacy of Internet users and to regulate the contact environment of network node through technical intervention are put forward.This paper uses Python to collect data of rumor cases publicly disclosed on Weibo in 2019-2020. After cleaning, data are selected for empirical analysis.The competitive dissemination model proposed in this paper combines the key elements of previous researches in the field of bad information dissemination. The model is flexible and can meet the demand of factor-targeted analysis, providing a new idea for modeling and optimization of bad information communication. This model has strong practicability, it can fully simulate different competitive dissemination scenarios based on reality, and can provide better solutions for bad information governance. |
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| Keywords: | information distortion Weibo rumors system dynamics theory the competitive propagation model cyberspace governance |
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