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推特言论揭示了美国民众对新冠疫苗担忧的地域和时间差异。

Twitter discourse reveals geographical and temporal variation in concerns about COVID-19 vaccines in the United States.

机构信息

Penn Medicine Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States; Department of Computer and Information Science, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, United States; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia PA, United States.

Department of Family and Community Health, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States; Center for Health Incentives and Behavioral Economics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia PA, United States.

出版信息

Vaccine. 2021 Jul 5;39(30):4034-4038. doi: 10.1016/j.vaccine.2021.06.014. Epub 2021 Jun 9.

DOI:10.1016/j.vaccine.2021.06.014
PMID:34140171
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8188387/
Abstract

The speed at which social media is propagating COVID-19 misinformation and its potential reach and impact is growing, yet little work has focused on the potential applications of these data for informing public health communication about COVID-19 vaccines. We used Twitter to access a random sample of over 78 million vaccine-related tweets posted between December 1, 2020 and February 28, 2021 to describe the geographical and temporal variation in COVID-19 vaccine discourse. Urban suburbs posted about equitable distribution in communities, college towns talked about in-clinic vaccinations near universities, evangelical hubs posted about operation warp speed and thanking God, exurbs posted about the 2020 election, Hispanic centers posted about concerns around food and water, and counties in the ACP African American South posted about issues of trust, hesitancy, and history. The graying America ACP community posted about the federal government's failures; rural middle American counties posted about news press conferences. Topics related to allergic and adverse reactions, misinformation around Bill Gates and China, and issues of trust among Black Americans in the healthcare system were more prevalent in December, topics related to questions about mask wearing, reaching herd immunity and natural infection, and concerns about nursing home residents and workers increased in January, and themes around access to black communities, waiting for appointments, keeping family safe by vaccinating and fighting online misinformation campaigns were more prevalent in February. Twitter discourse around COVID-19 vaccines in the United States varied significantly across different communities and changed over time; these insights could inform targeted messaging and mitigation strategies.

摘要

社交媒体传播 COVID-19 错误信息的速度及其潜在的传播范围和影响正在不断扩大,但很少有工作关注这些数据在为 COVID-19 疫苗提供公共卫生信息方面的潜在应用。我们使用 Twitter 访问了 2020 年 12 月 1 日至 2021 年 2 月 28 日期间发布的超过 7800 万条与疫苗相关的推文的随机样本,以描述 COVID-19 疫苗话语的地理和时间变化。城市郊区在社区中宣传公平分配,大学城在大学附近的诊所宣传接种,福音派中心宣传“ warp speed”行动和感谢上帝,远郊宣传 2020 年选举,西班牙裔中心宣传对食品和水的关注,以及非裔美国人南部的 ACP 县宣传信任、犹豫和历史问题。美国 ACP 社区的老龄化人群发布了联邦政府失败的信息;美国农村中心地带的县发布了新闻发布会的消息。关于过敏和不良反应的话题、关于比尔盖茨和中国的错误信息以及美国黑人对医疗保健系统的信任问题在 12 月更为普遍,关于戴口罩、达到群体免疫和自然感染、以及对养老院居民和工作人员的担忧的话题在 1 月增加,关于黑人社区获得疫苗、预约、接种疫苗保护家人和打击网络错误信息活动的话题在 2 月更为普遍。美国围绕 COVID-19 疫苗的 Twitter 话语在不同社区之间存在显著差异,并随时间而变化;这些见解可以为有针对性的信息传递和缓解策略提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efd4/8188387/55de28deb9f8/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efd4/8188387/53cc09d53b59/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efd4/8188387/32fb3f55afe7/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efd4/8188387/55de28deb9f8/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efd4/8188387/53cc09d53b59/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efd4/8188387/32fb3f55afe7/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efd4/8188387/55de28deb9f8/gr3_lrg.jpg

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