Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis.
Content and Dynamics of Websites Shared Over Vaccine-Related Tweets in COVID-19 Conversations: Computational Analysis.
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DOI：
10.2196/29127
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发表时间：
2021-12-03
影响因子：
7.4
通讯作者：
Berger-Wolf T
中科院分区：
文献类型：
--
作者：
Cruickshank I;Ginossar T;Sulskis J;Zheleva E;Berger-Wolf T
COVID-19大流行的爆发和随之而来的“信息大流行”加剧了人们对推特在传播反疫苗信息方面的作用的担忧，甚至在疫苗向公众提供之前。新的计算方法允许通过跟踪Twitter上共享的网站链接来分析跨平台使用，这反过来又可以揭示信息来源和议程设置过程的一些内容和动态。这样的理解可以推进减少错误信息的理论和努力。根据议程设置理论，本研究旨在确定2020年2月至6月期间推特上与COVID-19相关的疫苗相关推文所共享的网站内容和时间模式。我们采用三角剖分的数据分析方法。数据挖掘包括筛选发布到COVID-19对话中的约500万条推文，以识别与疫苗接种相关的推文，并包括这些推文中共享的网站链接。我们使用混合方法进一步分析了20个分享最多的外部网站的内容。在确定的841896条与疫苗相关的推文中，185994条（22.1%）包含指向特定网站的链接。被分享的网站范围很广，推特最多的20个网站占被分享网站的14.5%(27,060/185,994)，通常只被分享2到3天。在这20个网站中，传统媒体占多数，其他社交媒体和政府来源也占多数。我们确定了其中一些链接的不真实传播标记。在大流行早期，关于COVID-19的推特中普遍存在接种疫苗的话题。共享网站是一种常见的传播策略，其“爆发式”的传播模式和不真实的传播策略给健康促进工作带来了挑战。未来的研究应考虑在传播卫生信息和消除错误信息方面使用跨平台。
The onset of the COVID-19 pandemic and the consequent “infodemic” increased concerns about Twitter’s role in advancing antivaccination messages, even before a vaccine became available to the public. New computational methods allow for analysis of cross-platform use by tracking links to websites shared over Twitter, which, in turn, can uncover some of the content and dynamics of information sources and agenda-setting processes. Such understanding can advance theory and efforts to reduce misinformation. Informed by agenda-setting theory, this study aimed to identify the content and temporal patterns of websites shared in vaccine-related tweets posted to COVID-19 conversations on Twitter between February and June 2020. We used triangulation of data analysis methods. Data mining consisted of the screening of around 5 million tweets posted to COVID-19 conversations to identify tweets that related to vaccination and including links to websites shared within these tweets. We further analyzed the content the 20 most-shared external websites using a mixed methods approach. Of 841,896 vaccination-related tweets identified, 185,994 (22.1%) contained links to specific websites. A wide range of websites were shared, with the 20 most-tweeted websites constituting 14.5% (27,060/185,994) of the shared websites and typically being shared for only 2 to 3 days. Traditional media constituted the majority of these 20 websites, along with other social media and governmental sources. We identified markers of inauthentic propagation for some of these links. The topic of vaccination was prevalent in tweets about COVID-19 early in the pandemic. Sharing websites was a common communication strategy, and its “bursty” pattern and inauthentic propagation strategies pose challenges for health promotion efforts. Future studies should consider cross-platform use in dissemination of health information and in counteracting misinformation.
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