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突发公共卫生事件网络谣言网格化预警模型研究

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为提高现阶段网络谣言预瞥效率和可靠性,建立突发公共卫生事件网络谣言网格化预警模型。首先,量化网络谣言基础特征,运用灰色加权关联度分析法,纵向识别网络谣言对受众个体的迷惑性程度;其次,基于不完全信息动态博弈,结合仿真,横向预测网络谣言在受众群体中的流传广度;最后,综合纵横两个维度的评估结果,界定网络谣言的整体社会影响力,依据该模型预警网络谣言等级,提出网络谣言分级应急管控策略。以"双黄连可预防新型冠状病毒"的网络谣言为例,验证网络谣言网格化预警模型及其扼止策略的有效性,可为公共部门分级分步管控网络谣言提供信息支撑和决策支持。
Study on the Grid-based Early Warning Model for Online Rumors of Public Health Emergencies
In order to improve the problem of low efficiency and insufficient reliability of online rumors early warning,a grid-based early warning model for online rumors of public health emergencies is established.Firstly,the depth of confusion of online rumors to individual audience is identified longitudinally by quantifying the basic characteristics of online rumors based on the grey-weighted correlation analysis.Secondly,the spread of online rumors to audience groups is predicted horizontally combined the dynamic game of incomplete informa-tion with simulation.Finally,the assessment results of both vertical and horizontal dimensions are integrated to define the overall social influence of online rumors,and a visual four-level early warning classification for mild,warning,severe,and danger is carried out,and four emergency management and control strategies of delay,suppression,confronation and suppression are correspondingly proposed.The case of"Shuanghuanglian"is taken as an example to verify the effectiveness of the online rumors grid-based early warning model and its choke tactics.In terms of theoretical research value,it is the first time that the dual perspectives of"identification-warning"and"dissemination-warning"are combined to predict the early-warning level of the overall social influ-ence of online rumors.Based on the interaction between information and audience,the information vagueness of online rumor is estimated more comprehensively,and both the individual cognitive judgment of the audience and the game psychology of the audience group are considered in the evaluation of the spread of online rumors.At the same time,the whole process of this study relies on big data,artificial intelligence and other automatic technologies to improve the objectivity of the evaluation of social influence of online rumors.On the basis of visualizing the four-level warning(mild level,warning level,severe level and danger level)of the overall social influence of online rumors,four emergency management and control strategies are proposed respectively,which promoted the study of online rumors governance.

public health emergenciesonline rumorsearly warning modelgrey-weighted correlation analysisdynamic game with incomplete information

张桂蓉、董志香、夏霆

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中南大学社会稳定风险研究评估中心,湖南 长沙 410075

中南大学公共管理学院,湖南 长沙 410075

中共中央党校(国家行政学院)研究生院,北京 100091

突发公共卫生事件 网络谣言 预警模型 灰色加权关联度 不完全信息动态博弈

国家社会科学基金项目中南大学前沿交叉专项基金项目

20&ZD160160260005

2024

中国管理科学
中国优选法统筹法与经济数学研究会 中科院科技政策与管理科学研究所

中国管理科学

CSTPCDCSSCICHSSCD北大核心
影响因子:1.938
ISSN:1003-207X
年,卷(期):2024.32(2)
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