Junze盟泰-非盟的Wang -周,应非盟-张魏盟-埃文斯,理查德•朱盟——Chengyan PY - 2020 DA - 2020/11/26 TI -造成了中国社交媒体用户的担忧在COVID-19流行:内容分析新浪微博数据的乔- J地中海互联网Res SP - e22152六世- 22 - 11 KW -冠状病毒千瓦COVID-19 KW -社会媒体KW -公共卫生KW -新浪微博KW -舆论KW -公民关注AB -背景:COVID-19大流行造成了一场全球卫生危机，正在影响世界各地的经济和社会。在充满不确定性和意外变化的时代，人们将社交媒体平台作为沟通工具和主要信息来源。Twitter和新浪微博等平台允许社区分享讨论和情感支持;它们在个人、政府和组织之间交换信息和表达意见方面也发挥着重要作用。然而，研究大流行期间社交媒体用户表达的主要担忧的研究有限。目的:本研究旨在研究新冠肺炎疫情期间，中国最大的社交媒体平台新浪微博上公民提出和讨论的主要问题。方法:我们使用网络爬虫工具和一组预定义的搜索词(新型冠状病毒肺炎、新型冠状病毒和COVID-19)来调查新浪微博用户提出的担忧。收集2019年12月1日至2020年7月32日期间发布的微博的文本信息和元数据(点赞数、评论数、转发数、发布时间和发布地点)。在对收集到的文本进行单词分割后，我们使用主题建模技术潜狄利克雷分配(LDA)来识别用户发布的最常见的主题。 We analyzed the emotional tendencies of the topics, calculated the proportional distribution of the topics, performed user behavior analysis on the topics using data collected from the number of likes, comments, and retweets, and studied the changes in user concerns and differences in participation between citizens living in different regions of mainland China. Results: Based on the 203,191 eligible microblog posts collected, we identified 17 topics and grouped them into 8 themes. These topics were pandemic statistics, domestic epidemic, epidemics in other countries worldwide, COVID-19 treatments, medical resources, economic shock, quarantine and investigation, patients’ outcry for help, work and production resumption, psychological influence, joint prevention and control, material donation, epidemics in neighboring countries, vaccine development, fueling and saluting antiepidemic action, detection, and study resumption. The mean sentiment was positive for 11 topics and negative for 6 topics. The topic with the highest mean of retweets was domestic epidemic, while the topic with the highest mean of likes was quarantine and investigation. Conclusions: Concerns expressed by social media users are highly correlated with the evolution of the global pandemic. During the COVID-19 pandemic, social media has provided a platform for Chinese government departments and organizations to better understand public concerns and demands. Similarly, social media has provided channels to disseminate information about epidemic prevention and has influenced public attitudes and behaviors. Government departments, especially those related to health, can create appropriate policies in a timely manner through monitoring social media platforms to guide public opinion and behavior during epidemics. SN - 1438-8871 UR - //www.mybigtv.com/2020/11/e22152/ UR - https://doi.org/10.2196/22152 UR - http://www.ncbi.nlm.nih.gov/pubmed/33151894 DO - 10.2196/22152 ID - info:doi/10.2196/22152 ER -