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机构地区:[1]南京大学信息管理学院多媒体信息研究所,江苏南京210023 [2]南京大学江苏省数据工程与知识服务重点实验室,江苏南京210023
出 处:《情报理论与实践》2024年第5期167-174,共8页Information Studies:Theory & Application
摘 要:[目的/意义]公共危机事件突发后,经媒体报道,会迅速引起公众的关注,负面情绪下谣言极易在网民间传播。结合网民的失望情绪,探索负面网络谣言传播过程,将为谣言传播的管控提供有力支持。[方法/过程]文章基于病毒动力学模型,引入网民的失望情绪状态,构建突发公共危机事件的负面网络谣言传播模型,并通过仿真分析探究负面网络谣言动态传播过程。[结果/结论]研究发现,网民认同突发公共危机事件谣言的感染率、网民对突发公共危机事件应对的感知失望参数与负面网络谣言传播人数和谣言数比率密切相关,结合这些因素提出应对策略有利于对突发公共危机事件负面网络谣言传播的管控。[Purpose/significance]When a public crisis event broke out,it quickly attracted the attention of the public due to media coverage so that under the negative mood,rumors spread very easily among the netizens.It will provide strong support for the management and control of rumors dissemination to explore the process of negative online rumors dissemination with netizens’disap-pointment.[Method/process]Based on the virus dynamics model,this paper introduced the state of netizens’disappointment to construct the negative online rumors dissemination model of sudden public crisis events,and explored the dynamic process of nega-tive online rumors dissemination through simulation analysis.[Result/conclusion]The study found that the infection rate of neti-zens who are approve of negative online rumors of sudden public crisis event,and the perceived disappointment parameter of neti-zens towards the response to sudden public crisis event are closely related to the proportions of infectors of negative online rumors and rumors.Combined with these factors,the proposed response strategies were conducive to the management and control of nega-tive online rumors dissemination of sudden public crisis events.
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