摘要
【目的】在突发公共卫生事件情境下,计算网民对政务微博的信任度,探究信任度变化的原因。【方法】根据评论对象、评论与微博的主题相似度、情感倾向三部分的匹配结果计算政务微博的评论区信任值,将点赞和转发作为政务微博的点赞信任值和转发信任值,计算网民对政务微博的综合信任度。【结果】使用新冠疫情的微博数据进行实证分析,发现行业战疫相关的话题可以提升政务微博的信任度,境内疫情对网民信任度的作用会受到行业战疫和政府行动的影响;不同行业的政务微博信任度的变化趋势及原因有较大差异。【局限】微博评论的对象只考虑了事件和博主两种可能性。【结论】研究结果揭示了疫情期间网民对不同行业的政务微博信任度的变化趋势和变化原因,为政府部门在突发公共卫生事件期间的决策制定、信任修复和提升、舆情引导提供数据与方法支持。
[Objective]This paper tries to measure the netizens’trust in government microblogs during public health emergencies,and then explores reasons for the changes.[Methods]First,we calculated the trust from the comments on government microblogs with the comment objects,the topic similarity between comments and microblogs,as well as their sentiments.Then,we added the numbers of likes and forwards/retweets to decide the comprehensive trust of the netizens toward the government microblogs.[Results]We examined out model with microblog data on COVID-19 and found that topics related to industrial and government efforts fighting the pandemic enhanced the trust in government microblogs.There were great differences in the development trends and reasons of the trust in government microblogs from different fields.[Limitations]We only used the events and the microbloggers as the objects of comments.[Conclusions]The proposed model could help government agencies improve decision making,public trust,and lead online opinion during public health emergencies.
作者
安璐
徐曼婷
An Lu;Xu Manting(Center for Studies of Information Resources,Wuhan University,Wuhan 430072,China;School of Information Management,Wuhan University,Wuhan 430072,China)
出处
《数据分析与知识发现》
CSSCI
CSCD
北大核心
2022年第1期55-68,共14页
Data Analysis and Knowledge Discovery
基金
国家自然科学基金面上项目(项目编号:72174153)
国家自然科学基金重大课题(项目编号:71790612)
国家自然科学基金创新研究群体项目(项目编号:71921002)的研究成果之一。
