TY - JOUR AU - Yiannakoulias, Niko AU - Darlington, J Connor AU - Slavik, Catherine E AU - Benjamin, Grant PY - 2022 DA - 2022/8/29 TI - COVID-19疫苗阴性推特信息:内容分析乔- JMIR Infodemiology SP - e38485六世- 2 - 2 KW -疫苗接受KW -疫苗犹豫KW - Twitter KW -健康传播KW - COVID-19 KW -社会媒体KW - Infodemiology KW -错误KW -内容分析KW -情绪分析KW -疫苗误传KW -网络健康信息AB -背景:社会媒体平台,如Facebook、Instagram, Twitter和YouTube,有一个角色在传播疫苗意见和错误的信息。疫苗一直是管理COVID-19大流行的重要组成部分，因此不鼓励接种疫苗的内容通常被视为对公共卫生的担忧。然而，并非所有关于疫苗的负面信息都是明确的反疫苗信息，其中一些可能是公共卫生专家和社区之间公开交流的重要组成部分。目的:本研究旨在确定2021年前4个月推特上COVID-19疫苗负面信息的频率。方法:我们从2021年初收集的与COVID-19和疫苗接种相关的推文的大样本框架中手动编码了7306条推文。我们还对特定疫苗生产商的地理位置和提及情况进行了编码。我们根据作者类型、地理位置(美国、英国和加拿大)和疫苗开发商，比较了反疫苗和负面疫苗信息随时间的流行率。结果:我们发现1.8%(131/7306)的推文是反疫苗的，但21%(1533/7306)的推文包含负面的疫苗信息。媒体和政府是负面疫苗信息的常见来源，但不是反疫苗内容。 Twitter users from the United States generated the plurality of negative vaccine information; however, Twitter users in the United Kingdom were more likely to generate negative vaccine information. Negative vaccine information related to the Oxford/AstraZeneca vaccine was the most common, particularly in March and April 2021. Conclusions: Overall, the volume of explicit anti-vaccine content on Twitter was small, but negative vaccine information was relatively common and authored by a breadth of Twitter users (including government, medical, and media sources). Negative vaccine information should be distinguished from anti-vaccine content, and its presence on social media could be promoted as evidence of an effective communication system that is honest about the potential negative effects of vaccines while promoting the overall health benefits. However, this content could still contribute to vaccine hesitancy if it is not properly contextualized. SN - 2564-1891 UR - https://infodemiology.www.mybigtv.com/2022/2/e38485 UR - https://doi.org/10.2196/38485 DO - 10.2196/38485 ID - info:doi/10.2196/38485 ER -