Advocacy, Hesitancy, and Equity: Exploring U.S. Race-Related Discussions of the COVID-19 Vaccine on Twitter.
Advocacy, Hesitancy, and Equity: Exploring U.S. Race-Related Discussions of the COVID-19 Vaccine on Twitter.
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DOI：
10.3390/ijerph18115693
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发表时间：
2021-05-26
影响因子：
--
通讯作者：
Gee GC
中科院分区：
文献类型：
--
作者：
Criss S;Nguyen TT;Norton S;Virani I;Titherington E;Tillmanns EL;Kinnane C;Maiolo G;Kirby AB;Gee GC
背景：我们的研究旨在描述与新冠肺炎疫苗、种族和民族相关的推文主题，以探索这些话题在推特上交叉的背景。方法：我们利用Twitter的流媒体应用编程接口(API)从2020年10月至2021年1月随机收集1%的公开推文样本。研究团队从1110条推文的完整数据集中进行了定性的内容分析。结果：这些推文通过疫苗肯定、通过指责进行倡导、需要疫苗、新冠肺炎与种族主义、疫苗开发和效力、种族主义疫苗幽默以及新闻更新等方式揭示了对疫苗的支持。疫苗反对表现为直接反对、疫苗迟疑和不良反应。阴谋和错误信息包括科学错误信息、政治错误信息、关于豁免和保护行为的信念，以及种族灭绝阴谋。公平和可获得性侧重于克服医疗种族主义的历史，指出健康差距，并促进获得疫苗。代表们吹捧对发展和榜样的自豪，政治讨论了政治在疫苗和国际政治中的作用。结论：我们的分析表明，Twitter可以提供关于与种族和民族相关的疫苗的多种观点的细微差别，并有助于对公共卫生信息的洞察。
Background: Our study aimed to describe themes of tweets related to COVID-19 vaccines, race, and ethnicity to explore the context of the intersection of these topics on Twitter. Methods: We utilized Twitter’s Streaming Application Programming Interface (API) to collect a random 1% sample of publicly available tweets from October 2020 to January 2021. The study team conducted a qualitative content analysis from the full data set of 1110 tweets. Results: The tweets revealed vaccine support through vaccine affirmation, advocacy through reproach, a need for a vaccine, COVID-19 and racism, vaccine development and efficacy, racist vaccine humor, and news updates. Vaccine opposition was demonstrated through direct opposition, vaccine hesitancy, and adverse reactions. Conspiracy and misinformation included scientific misinformation, political misinformation, beliefs about immunity and protective behaviors, and race extermination conspiracy. Equity and access focused on overcoming history of medical racism, pointing out health disparities, and facilitators to vaccine access. Representation touted pride in development and role models, and politics discussed the role of politics in vaccines and international politics. Conclusion: Our analysis demonstrates that Twitter can provide nuances about multiple viewpoints on the vaccine related to race and ethnicity and can be beneficial in contributing to insights for public health messaging.
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影响因子：
5.9
作者：
Khubchandani J;Sharma S;Price JH;Wiblishauser MJ;Sharma M;Webb FJ
通讯作者：
Webb FJ
DOI：
10.3390/ijerph17197032
发表时间：
2020-09-25
影响因子：
--
作者：
Nguyen TT;Criss S;Dwivedi P;Huang D;Keralis J;Hsu E;Phan L;Nguyen LH;Yardi I;Glymour MM;Allen AM;Chae DH;Gee GC;Nguyen QC
通讯作者：
Nguyen QC
影响因子：
4.6
作者：
Cinelli M;Quattrociocchi W;Galeazzi A;Valensise CM;Brugnoli E;Schmidt AL;Zola P;Zollo F;Scala A
通讯作者：
Scala A
影响因子：
--
作者：
Jamison AM;Broniatowski DA;Dredze M;Sangraula A;Smith MC;Quinn SC
通讯作者：
Quinn SC
影响因子：
12.7
作者：
Broniatowski, David A.;Jamison, Amelia M.;Dredze, Mark
通讯作者：
Dredze, Mark