基于政务微博的信息公开与舆情演化研究——以新冠肺炎病例信息为例

Research on Information Disclosure and Public Opinion Evolution Based on Government Microblog:Taking Case Information of COVID-19 as an Example

[目的/意义]从数据层面探索信息公开与舆情演化之间的关系,为完善重大突发公共事件中的政府信息公开制度提供参考。[方法/过程]以政务微博为研究平台,选取新冠肺炎疫情事件为典型案例,聚焦病例信息公开及评论数据。使用内容分析法提取信息公开特征,基于SnowNLP模型计算社会情绪,结合焦点诉求分析舆情演化趋势。引入政府危机管理系列理论,探讨信息公开与舆情演化的双向作用机制。[结果/结论]信息公开不足会导致消极的社会情绪。随着信息公开工作的改进,公众诉求的态度和内容从一开始的强硬、笼统变得温和、具体。信息公开与舆情演化在周期上具有同步性,二者相互影响,这对于政府把握舆情规律,推进应急管理工作发展有重要意义。

[Purpose/significance]This paper explores the relationship between information disclosure and public opinion evolution from the data level,to provide reference for improving the government information disclosure system when facing major public emergencies.[Method/process]Based on the government microblog,selecting COVID-19 event as a typical case,this paper focuses on case information disclosure and public comment data.We use content analysis to extract information disclosure features,calculate social emotions by SnowNLP,and analyze the evolution trend of public opinion combined with the themes of appeal.In addition,we discuss the two-way influence of information disclosure and public opinion evolution taking consideration of government crisis management theories.[Result/conclusion]The lack of information disclosure leads to negative social emotions.With the improvement of information disclosure,the attitude and content of public demands have changed from tough and general to moderate and specific.Information disclosure and public opinion evolution have synchronization in the cycle,and they influence each other,which is of great significance for the government to grasp the law of public opinion and promote the development of emergency management.