摘要
[目的/意义]网络情绪是网络舆情的主要构成内容。考察新冠肺炎疫情期间微博舆情中网络情绪的类型倾向、演化过程及传播效果,有助于为政府及相关部门在重大突发传染病事件发生后的舆情治理和情绪引导工作提供参考。[方法/过程]通过网络爬虫技术获取新浪微博上的舆情数据,经过数据清洗及预处理后,运用情绪词典、朴素贝叶斯模型和Kruskal-Wallis检验的方法加以分析。[结果/结论]研究结果表明,正面情绪是疫情期间微博舆情中的主导情绪,而负面情绪则以恐惧、贬责、烦闷和慌乱为主;网络情绪经历了由消极为主向积极为主的演化过程,总体呈提升趋势;不同网络情绪的传播效果之间存在统计意义上的显著差异,正面情绪较之负面情绪和中性情绪更易于传播。分析结果既回应了以往研究,也取得了新的发现,据此提出网络舆情情绪引导的相关建议。
[Purpose/significance]Online emotion is the major component of online public opinion.Analysis of the emotional states,evolution and communication effects of microblog public opinion during COVID-19 pandemic is helpful for the government’s online public opinion managing and emotion guiding in the circumstance of magnitude outburst infectious disease emergencies.[Method/process]This study obtains data from Sina microblog platform by web crawler.After data cleaning and preprocessing,methods of emotion classification dictionary,naive bayes model and Kruskal-Wallis test are used to analyze.[Result/conclusion]Findings of this study show that the positive emotions dominate online emotion of microblog public opinion during COVID-19 pandemic,in contrast to the negative emotions such as fear,depreciation,fidge and panic;online emotion changes from negative-based to positive-based and generally is on the rise;the communication effects between different orientations of online emotion show statistically differences,which means that compared with the negative and neutral emotions,the positive emotions are easier to be communicated.The research results support existing study conclusions,meanwhile and retrieve new findings.Suggestions are proposed to guide online emotion in online public opinion.
作者
杨潇坤
周书环
刘庸
Yang Xiaokun;Zhou Shuhuan;Liu Yong(Department for Big Data of Yiban Development Center,Lanzhou University,Lanzhou 730030,China;Center for Studies of Ethnic Minorities in Northwest China,Lanzhou University,Lanzhou 730030,China;The School of Communication and Design,Sun Yat-sen University,Guangzhou 510220,China;Institute of State Governance,Sun Yat-sen University,Guangzhou 510220,China)
出处
《图书情报研究》
2021年第4期91-100,共10页
Library and Information Studies
关键词
新冠肺炎疫情
网络情绪
微博舆情
类型
演化
传播效果
COVID-19 pandemic
online emotion
microblog public opinion
state
evolution
communication effect
