重大医疗事故网络舆情具有参与群体众多、观点难以稳定和社会热度高等特点,对网络舆情进行有序化控制在重大医疗事故公共危机管理中具有重要意义。本文从耗散结构理论的研究视角出发,以湘潭孕妇死亡事件为实证研究对象,采用文本挖掘和社会化网络分析方法对舆情的演化过程展开分析。研究结果显示,保持舆情系统开放性、营造舆论场非平衡态、充分利用舆情要素间的非线性制约作用,因势利导舆情的涨落以及建立完善的舆情预警机制等控制策略对于有序化控制具有积极作用。
Online public opinion on major medical accident has many significant characteristics, such as a tremendous participation group, opinions that can hardly settle down in a short time and highly social heat. Ordering control research of online public opinion is meaningful during the process of major medical accidents public crisis management. This paper chooses the case of Xiangtan maternal to do the empirical research from the perspective of dissipative structure theory. After analysis of evolution of public opinion using text mining and social network method, five measures are proposed, involving maintaining the openness of the system, ensuring the original state of the system to be non-equilibrium, making full use of the nonlinear re- strictive relation between elements, guiding the direction of public opinion in the light of the general trend, and establishing the perfect online public opinion early warning mechanism.