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跨社交媒体舆情风险感知:理论框架的构建与实现

Cross-Social-Media Public Opinion Risk Perception:Construction and Implementation of a Theoretical Framework
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摘要 社交媒体间的摇摆和迁徙使网民获取信息的方式更加复杂多样,提高舆情传播效率的同时,也加速了舆情风险的生成和演化,及时捕捉和预测网络舆情风险对维护网络安全至关重要。目前,舆情风险的感知对象主要侧重于单一社交媒体,对跨社交媒体舆情风险感知的理论框架构建及实现仍然存在拓展空间。因此,本研究通过分析跨社交媒体舆情风险的传播特征,系统构建了跨社交媒体舆情风险感知框架,具体包括三个阶段:单一媒体异常舆情识别、跨社交媒体舆情风险研判以及跨社交媒体舆情风险预测。通过构建不同阶段指标体系及数据关联挖掘,实现了跨社交媒体风险舆情的识别、研判与预测。不仅能够拓宽舆情风险感知的研究视角、丰富舆情风险理论体系,而且能够强化社交媒体赋能舆情风险治理的协同作用,有利于提高舆情风险防控水平。 The shifting and moving among social media platforms allow Internet users to obtain complex and diversified information,accelerate the efficiency of public opinion communication,and accelerate the generation and evolution of public opinion risks.Timely capture and prediction of online public opinion risks are crucial for maintaining network security.Currently,the perception objects of public opinion risk mainly focus on a single social media platform,and there is room to expand the construction and implementation of a theoretical framework for cross-social-media public opinion risk perception.Therefore,by analyzing the communication characteristics of cross-social-media public opinion risk,this study systematically develops a cross-social-media public opinion risk perception framework that includes three stages:identification of abnormal public opinion on a single media platform,research and evaluation of cross-social-media public opinion risk,and prediction of cross-social-media public opinion risk.Through the construction of a multistage index system and data correlation mining,the identification,research,and prediction of cross-social-media public opinion risks are realized.The findings can broaden the research perspective of public opinion risk perception,enrich the theoretical system of public opinion risk,and strengthen the synergy of social media to enable public opinion risk governance,which will be conducive for improving the level of public opinion risk prevention and control.
作者 王丹 刘富康 陆伟 Wang Dan;Liu Fukang;Lu Wei(School of Information Management,Wuhan University,Wuhan 430072;Information Retrieval and Knowledge Mining Laboratory,Wuhan University,Wuhan 430072)
出处 《情报学报》 CSCD 北大核心 2024年第4期446-456,共11页 Journal of the China Society for Scientific and Technical Information
关键词 社交媒体 舆情风险 风险感知 跨社交媒体 social media public opinion risk risk perception cross-social-media
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