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作 者:窦云莲 DOU Yunlian(School of Intelligent Policing,China People’s Police University,Langfang,Hebei Province 065000,China)
机构地区:[1]中国人民警察大学智慧警务学院,河北廊坊065000
出 处:《中国人民警察大学学报》2024年第12期35-40,共6页Journal of China People's Police University
基 金:2020年度国家社会科学基金“基于大数据的网络舆情全息建模与决策情报感知研究”(20BXW074)研究成果。
摘 要:算法推送的信息分发方式促成信息圈层化传播,高度同质化的圈层便于观点的传播及情绪的传染,在舆情事件刺激之下容易产生圈层极化,研究算法推送下舆情信息圈层化传播现象对于舆情风险治理具有重要意义。通过对舆情信息圈层化传播表征进行梳理与归纳,提炼出舆情信息圈层化传播风险点,结合风险管理理论从风险识别、风险评估以及风险控制的视角提出三大治理体系:数据驱动、资源共享的舆情风险识别与监测体系,专业化、常态化的风险评估与评价体系,以及多元主体参与、高效协同共治的风险治理体系。The algorithm-driven information distribution model fosters the dissemination of information within online communities,and the highly homogeneous communities facilitate the spread of opinions and the contagion of emo-tions.Under the stimulation of sensitive public opinion events,these communities are prone to opinion polarization.Therefore,it is of significant importance to study the phenomenon of algorithm-driven dissemination of public opinion in communities for the governance of public opinion risks.This paper systematically reviews and summarizes the characteristics of public opinion dissemination in communities and identifies the risks associated with this phenomenon.With the application of risk management theory,this paper proposes establishing three major governance systems from the perspectives of risk identification,risk assessment,and risk control:a data-driven and resource-sharing public opinion risk identification and monitoring system,a specialized and normalized risk assess-ment and evaluation system,and a risk governance system with multi-agent participation and efficient collaboration.
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