Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter.
Evolving Face Mask Guidance During a Pandemic and Potential Harm to Public Perception: Infodemiology Study of Sentiment and Emotion on Twitter.
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DOI：
10.2196/40706
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发表时间：
2023-02-27
影响因子：
7.4
通讯作者：
Majumder, Maimuna S.
中科院分区：
文献类型：
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作者：
Ramjee, Divya;Pollack, Catherine C.;Charpignon, Marie-Laure;Gupta, Shagun;Rivera, Jessica Malaty;El Hayek, Ghinwa;Dunn, Adam G.;Desai, Angel N.;Majumder, Maimuna S.
关键词：
在整个COVID-19疫情期间，美国疾病控制和预防中心关于口罩使用的政策起伏不定。了解公共卫生传播如何围绕关键政策决策发展，可以通过帮助设计传播策略（例如，措辞，时机和渠道）来为未来的预防措施决策提供信息，以确保快速传播并最大限度地提高广泛采用和持续遵守。我们的目的是评估人们对口罩的看法如何围绕口罩指南的两项变化而演变：（1）2020年4月3日的口罩使用建议，以及（2）2021年5月13日的口罩使用放宽。我们应用了中断的时间序列方法，以美国Twitter数据围绕每个指南的变化。结果是（1）积极，消极和中性推文的比例以及（2）带有给定情绪（例如，信任）的推文中的单词数量的变化。结果与同期没有屏蔽关键词的COVID-19推特数据进行了比较。2020年（β=-3.94个百分点，95%CI-4.68至-3.21; P<.001）和2021年（β=-8.74，95%CI-9.31至-8.17; P<.001）的中性面具相关推文较少。在4月3日的建议（β= 0.51，95% CI 0.43 - 0.59; P<0.001）和5月13日的放松（β=3.43，95% CI 1.61-5.26; P<0.001）之后，与面具相关的负面推文的百分比增加了。在4月3日（β=-.004，95%CI-.004至-.003; P<.001）和5月13日（β=-.001，95%CI-.002至0; P=.008）的政策变化后，与信任相关的术语数量减少。美国Twitter用户的反应是负面的，并且在与掩蔽相关的指南变化之后，信任度较低，无论指南是否推荐或放松掩蔽使用。联邦机构应确保简明、迅速地传达公共卫生建议的变化。
Throughout the COVID-19 pandemic, US Centers for Disease Control and Prevention policies on face mask use fluctuated. Understanding how public health communications evolve around key policy decisions may inform future decisions on preventative measures by aiding the design of communication strategies (eg, wording, timing, and channel) that ensure rapid dissemination and maximize both widespread adoption and sustained adherence. We aimed to assess how sentiment on masks evolved surrounding 2 changes to mask guidelines: (1) the recommendation for mask use on April 3, 2020, and (2) the relaxation of mask use on May 13, 2021. We applied an interrupted time series method to US Twitter data surrounding each guideline change. Outcomes were changes in the (1) proportion of positive, negative, and neutral tweets and (2) number of words within a tweet tagged with a given emotion (eg, trust). Results were compared to COVID-19 Twitter data without mask keywords for the same period. There were fewer neutral mask-related tweets in 2020 (β=–3.94 percentage points, 95% CI –4.68 to –3.21; P<.001) and 2021 (β=–8.74, 95% CI –9.31 to –8.17; P<.001). Following the April 3 recommendation (β=.51, 95% CI .43-.59; P<.001) and May 13 relaxation (β=3.43, 95% CI 1.61-5.26; P<.001), the percent of negative mask-related tweets increased. The quantity of trust-related terms decreased following the policy change on April 3 (β=–.004, 95% CI –.004 to –.003; P<.001) and May 13 (β=–.001, 95% CI –.002 to 0; P=.008). The US Twitter population responded negatively and with less trust following guideline shifts related to masking, regardless of whether the guidelines recommended or relaxed mask usage. Federal agencies should ensure that changes in public health recommendations are communicated concisely and rapidly.
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影响因子：
3.7
作者：
Kowitt SD;Schmidt AM;Hannan A;Goldstein AO
通讯作者：
Goldstein AO
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：
2.8
作者：
Batova, Tatiana
通讯作者：
Batova, Tatiana
影响因子：
7.4
作者：
Dutta-Bergman M
通讯作者：
Dutta-Bergman M
DOI：
10.1093/jamia/ocab047
发表时间：
2021-07-14
期刊：
Journal of the American Medical Informatics Association : JAMIA
影响因子：
--
作者：
He L;He C;Reynolds TL;Bai Q;Huang Y;Li C;Zheng K;Chen Y
通讯作者：
Chen Y