摘要
此次新型冠状病毒感染肺炎舆情因疫情而生,持续时间特别长、主体参与范围极广,是罕见的研究样本。通过对新冠疫情期间网络舆情事件监测数据的收集与分析,提出将此次网络舆情划分为主舆情、次生舆情、其它重大舆情三个类别。并重点对45个次生舆情按照持续天数分布、热度分布、类别分布三个角度进行了具体的数据分析和原因分析,据此提出了次生舆情的处置原则,对于今后此类舆情的研究具有积极作用。
The novel coronavirus infection pneumonia is a rare sample of research because of the epidemic which lasted for a long time and the main body participated widely.Based on the collection and analysis of the monitoring data of Internet public opinion events during the COVID-19 epidemic,the Internet public opinion are proposed to divide into three categories in this paper:primary public opinion,secondary public opinion and other major public opinion.Then,the data analysis and cause analysis of 45 secondary public opinions from three angles of duration distribution,heat distribution and category distribution,and the disposal principles of secondary public opinions are put forward,which will play a positive role in the future research of such public opinions.
作者
张刚
梁云鹤
ZHANG Gang;LIANG Yun-he(Shaanxi University of Science&Technology,Xi’an 710021,China)
出处
《兰州文理学院学报（社会科学版）》
2020年第3期68-74,共7页
Journal of Lanzhou University of Arts and Science(Social Science Edition)
基金
国家社科基金重大项目“基于大数据的反社会行为研究预测”(17ZDA117)
陕西省思想政治工作重大理论与现实问题研究项目“不断增强思政课的思想性、理论性和亲和力、针对性研究”(Sz144)
陕西省科学技术协会新型冠状病毒感染肺炎应急科普专项项目“新冠肺炎网络舆情信息分类与政府宏观应对科普视频”。
关键词
新冠肺炎
网络舆情
划分
分析
novel coronavirus pneumonia
Internet public opinion
classification
analysis
