摘要
社会情绪具有两面性,当某一事件或者某一类事件激起社会公众强烈的情绪波动,就可能引发社会情绪带来的风险,倘若公安机关不加以防范与化解,最终可能演化成网络舆情或群体事件,对社会稳定和国家安全造成威胁。在当今的互联网+自媒体时代,由于网络通讯条件便捷和自媒体门槛较低,社会情绪伴随着网络信息传播地更快、更广泛、影响更大。公安机关依托大数据、人工智能等技术,可以更早的感知社会情绪风险,精准识别与分析不同社会情绪风险的类型特点、发展阶段及其产生的原因,帮助公安机关完善社会情绪风险的防范与化解机制,提升社会治理能力和水平。
Social emotions have a dual nature.When a certain event or type of event triggers strong emotional fluctuations among the public,it may trigger risks brought about by social emotions.If the public security organs do not take precautions and resolve them,it may eventually evolve into online public opinion or group events,posing a threat to social stability and national security.In today's era of Internet plus,network communication conditions are convenient and the threshold of We Media is low.Social emotions are spreading faster,more widely and with greater impact.By relying on technologies such as big data and artificial intelligence,public security organs can perceive social emotional risks earlier,accurately identify and analyze the types,characteristics,development stages,and causes of different social emotional risks,help improve the prevention and mitigation mechanisms of social emotional risks,and enhance social governance capabilitiesand levels.
作者
向涵
孙宝财
Xiang Han;Sun Bao-cai(People's Police University of China,Langfang,Hebei,0065000 China)
出处
《西部公安论坛》
2024年第1期22-29,共8页
Journal of Western Public Security
基金
中国人民警察大学校级国家基金培育课题“公安机关基于大数据的社会情绪风险评估与防控机制研究”(项目编号:SKJJPY202304)阶段性研究成果。
关键词
公安机关
大数据
社会情绪风险
机制
public security organs
big data
social emotional risk
mechanism