系统工程与电子技术 ›› 2024, Vol. 46 ›› Issue (8): 2709-2720.doi: 10.12305/j.issn.1001-506X.2024.08.18

• 系统工程 • 上一篇    

重大舆情与突发事件舆论演变与引导机制研究述评

关爽1, 王长峰1,*, 杨龙飞2   

  1. 1. 北京邮电大学经济管理学院, 北京 100876
    2. 南京理工大学智能制造学院, 江苏 南京 210094
  • 收稿日期:2023-12-07 出版日期:2024-07-25 发布日期:2024-08-07
  • 通讯作者: 王长峰
  • 作者简介:关爽 (1985—), 女, 博士研究生, 主要研究方向为项目管理、智慧应急管理
    王长峰 (1965—), 男, 教授, 博士, 主要研究方向为项目管理、智慧应急管理
    杨龙飞 (1989—), 男, 讲师, 博士, 主要研究方向为项目管理、传播动力学建模
  • 基金资助:
    国家社会科学基金重大项目: ‘一带一路’重大项目风险动态监测与预警研究(22&ZD135);国家社会科学基金国家应急管理体系建设专项项目: 智能化公共卫生重大风险评估研判、应急决策与防控协同机制研究(20VYJ061)

Evolution and guidance mechanism of public opinion and emergencies: a review

Shuang GUAN1, Changfeng WANG1,*, Longfei YANG2   

  1. 1. School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China
    2. School of Intelligent Manufacturing, Nanjing University of Science & Technology, Nanjing 210094, China
  • Received:2023-12-07 Online:2024-07-25 Published:2024-08-07
  • Contact: Changfeng WANG

摘要:

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。

关键词: 重大舆情与突发事件, 舆论演变, 舆论引导机制, 舆论态势研判

Abstract:

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.

Key words: major public opinion and emergencies, opinion evolution, guidance mechanism, judgment of public opinion situation

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