@文章{信息:doi/10.2196/22152，作者=“王俊泽和周，英和张，魏和埃文斯，理查德和朱成燕”，标题=“新冠肺炎大流行期间中国社交媒体用户表达的担忧:新浪微博微博数据的内容分析”，期刊=“J医学互联网研究”，年=“2020”，月=“11月”，日=“26”，卷=“22”，数=“11”，页=“e22152”，关键词=“冠状病毒;COVID-19;社交媒体;公共卫生;新浪微博;公众舆论;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。 However, research that studies the main concerns expressed by social media users during the pandemic is limited. Objective: The aim of this study was to examine the main concerns raised and discussed by citizens on Sina Weibo, the largest social media platform in China, during the COVID-19 pandemic. Methods: We used a web crawler tool and a set of predefined search terms (New Coronavirus Pneumonia, New Coronavirus, and COVID-19) to investigate concerns raised by Sina Weibo users. Textual information and metadata (number of likes, comments, retweets, publishing time, and publishing location) of microblog posts published between December 1, 2019, and July 32, 2020, were collected. After segmenting the words of the collected text, we used a topic modeling technique, latent Dirichlet allocation (LDA), to identify the most common topics posted by users. 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. ", issn="1438-8871", doi="10.2196/22152", url="//www.mybigtv.com/2020/11/e22152/", url="https://doi.org/10.2196/22152", url="http://www.ncbi.nlm.nih.gov/pubmed/33151894" }