TY -非盟的张Jueman AU - Wang Yi AU -史,Molu AU -王,则PY - 2021 DA - 2021/12/3 TI -驱动因素COVID-19疫苗的普及和病毒营销话语在Twitter上:文本挖掘和数据可视化研究乔- JMIR公共卫生Surveill SP - e32814六世- 7 - 12 KW - COVID-19 KW -疫苗KW -主题建模KW - LDA KW -价KW -分享KW -病毒KW - Twitter KW -社会媒体AB -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。目的:本研究的目的是使用基于机器的文本挖掘技术，调查关于COVID-19疫苗的推文受欢迎程度和病毒式传播的消息级驱动因素。我们进一步旨在使用网络分析和可视化来检查最受欢迎和转发最多的推文的主题社区。方法:我们收集了2020年1月1日至2021年4月30日期间关于COVID-19疫苗的美国英语公开推文(N= 501531)。使用主题建模和情感分析来识别潜在的主题和效价，以及关于媒体存在、语言特征和帐户验证的自动提取信息，用于回归模型来预测点赞和转发。在2500条点赞最多的推文和2500条转发最多的推文中，采用网络分析和可视化的方法检测主题社区，并呈现主题与推文之间的关系。结果:主题建模产生了12个主题。回归分析显示，有8个话题正向预测点赞量，7个话题正向预测转发量，其中疫苗研发与民众观点话题和疫苗功效与推出话题影响较大。 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. SN - 2369-2960 UR - https://publichealth.www.mybigtv.com/2021/12/e32814 UR - https://doi.org/10.2196/32814 UR - http://www.ncbi.nlm.nih.gov/pubmed/34665761 DO - 10.2196/32814 ID - info:doi/10.2196/32814 ER -