全媒体环境下,重大舆情与突发事件舆论引导及相应的科学研究问题日益凸显出行为的复杂性、结构的复杂性、要素间关联的复杂性和环境的复杂性,向目前的引导研究方法论提出新的挑战.以Web of Science和中国知网(China national knowledge infrastructure,CNKI)数据库为数据来源,围绕重大舆情与突发事件本身的分析挖掘、指标体系、传播和演化,以及舆论引导策略的宏观政策、态势研判、演化仿真预测和应急响应研究展开述评梳理,最后总结了重大舆情和突发事件舆论引导理论方法、研判分析和预警研究面临的挑战和发展趋势,有助于帮助数智驱动应急管理体系和能力建设发展中新机遇和新挑战方面的落实.
Evolution and guidance mechanism of public opinion and emergencies:a review
In the all-media environment,the guidance of public opinion on major public opinions and emergencies and the corresponding scientific research issues increasingly highlights the complexity of behavior,complexity of structure,complexity of relationships between elements,and complexity of the environment.Public opinion guidance research methodologies for incident events pose new challenges.By using the Web of Science and China national knowledge infrastructure(CNKI)databases,this review focuses on the analysis and mining,indicator system,dissemination and evolution of major public opinions and emergencies themselves,as well as the macro-policy,situation analysis,evolution simulation prediction and emergency response research of public opinion guidance strategies.Finally,the challenges and development trends faced by theoretical methods,judgment analysis,and early warning research on major public opinion and emergency public opinion guidance are summarized,which can help promote the implementation of new opportunities and challenges in the development of digital intelligence-driven emergency management systems and capacity building.
major public opinion and emergenciesopinion evolutionguidance mechanismjudgment of public opinion situation
NETL
NSTL
万方数据
