@文章{信息:doi/10.2196/32814，作者=“张珏满王毅史Molu王秀丽”，标题=“推特上COVID-19疫苗话语流行度和病毒式传播的驱动因素:文本挖掘和数据可视化研究”，期刊=“JMIR公共卫生监测”，年=“2021”，月=“12”，日=“3”，卷=“7”，数=“12”，页=“e32814”，关键词=“COVID-19;疫苗;主题建模;LDA;价;分享;病毒;推特;背景:COVID-19疫苗接种被认为是帮助结束大流行的关键预防措施。推特等社交媒体平台在有关COVID-19疫苗的公众讨论中发挥了重要作用。 Objective: The aim of this study was to investigate message-level drivers of the popularity and virality of tweets about COVID-19 vaccines using machine-based text-mining techniques. We further aimed to examine the topic communities of the most liked and most retweeted tweets using network analysis and visualization. Methods: We collected US-based English-language public tweets about COVID-19 vaccines from January 1, 2020, to April 30, 2021 (N=501,531). Topic modeling and sentiment analysis were used to identify latent topics and valence, which together with autoextracted information about media presence, linguistic features, and account verification were used in regression models to predict likes and retweets. Among the 2500 most liked tweets and 2500 most retweeted tweets, network analysis and visualization were used to detect topic communities and present the relationship between the topics and the tweets. Results: Topic modeling yielded 12 topics. The regression analyses showed that 8 topics positively predicted likes and 7 topics positively predicted retweets, among which the topic of vaccine development and people's views and that of vaccine efficacy and rollout had relatively larger effects. Network analysis and visualization revealed that the 2500 most liked and most retweeted retweets clustered around the topics of vaccine access, vaccine efficacy and rollout, vaccine development and people's views, and vaccination status. The overall valence of the tweets was positive. Positive valence increased likes, but valence did not affect retweets. Media (photo, video, gif) presence and account verification increased likes and retweets. Linguistic features had mixed effects on likes and retweets. Conclusions: This study suggests the public interest in and demand for information about vaccine development and people's views, and about vaccine efficacy and rollout. These topics, along with the use of media and verified accounts, have enhanced the popularity and virality of tweets. These topics could be addressed in vaccine campaigns to help the diffusion of content on Twitter. ", issn="2369-2960", doi="10.2196/32814", url="https://publichealth.www.mybigtv.com/2021/12/e32814", url="https://doi.org/10.2196/32814", url="http://www.ncbi.nlm.nih.gov/pubmed/34665761" }