Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis.
Collective Response to Media Coverage of the COVID-19 Pandemic on Reddit and Wikipedia: Mixed-Methods Analysis.
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DOI：
10.2196/21597
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发表时间：
2020-10-12
影响因子：
7.4
通讯作者：
Perra N
中科院分区：
文献类型：
--
作者：
Gozzi N;Tizzani M;Starnini M;Ciulla F;Paolotti D;Panisson A;Perra N
疫情暴发期间信息的暴露和消费可能会改变人们的风险认知并引发行为变化，最终可能会影响疾病的演变。因此，至关重要的是要了解主流媒体传播信息的情况以及公众对这一信息的反应。然而，我们对新冠肺炎大流行期间这种暴露-反应动态的了解仍然有限。这项研究的目标是描述意大利、英国、美国和加拿大四个国家对新冠肺炎大流行的媒体报道和互联网集体反应的特征。我们收集了一个异质的数据集，包括主流媒体发布的227,768篇网络新闻文章和13,448个YouTube视频，社交媒体平台Reddit上的107,898条用户帖子和3,829,309条评论，以及与新冠肺炎相关的维基百科页面的278,456,892次浏览量。为了分析媒体报道、疫情发展和用户基于网络的集体反应之间的关系，我们考虑了一个线性回归模型，该模型预测了给定新闻曝光量的每个国家的公众反应。我们还使用非负矩阵分解对数据集进行了主题建模。我们的结果表明，公众关注度，量化为Reddit上的用户活跃度和维基百科页面上的活跃搜索量，主要是由媒体报道驱动的；同时，这种活跃度迅速下降，而新闻曝光率和新冠肺炎发生率仍然很高。此外，使用无监督的动态话题建模方法，我们表明，尽管媒体和互联网用户对不同话题的关注水平是一致的，但他们的时间模式出现了有趣的偏差。总体而言，我们的发现为解释公众对当前全球卫生紧急情况的感知和反应提供了另一个关键，并提出了关于注意力饱和对人们的集体意识和风险认知的影响，从而对他们的行为变化趋势的影响的问题。
The exposure and consumption of information during epidemic outbreaks may alter people’s risk perception and trigger behavioral changes, which can ultimately affect the evolution of the disease. It is thus of utmost importance to map the dissemination of information by mainstream media outlets and the public response to this information. However, our understanding of this exposure-response dynamic during the COVID-19 pandemic is still limited. The goal of this study is to characterize the media coverage and collective internet response to the COVID-19 pandemic in four countries: Italy, the United Kingdom, the United States, and Canada. We collected a heterogeneous data set including 227,768 web-based news articles and 13,448 YouTube videos published by mainstream media outlets, 107,898 user posts and 3,829,309 comments on the social media platform Reddit, and 278,456,892 views of COVID-19–related Wikipedia pages. To analyze the relationship between media coverage, epidemic progression, and users’ collective web-based response, we considered a linear regression model that predicts the public response for each country given the amount of news exposure. We also applied topic modelling to the data set using nonnegative matrix factorization. Our results show that public attention, quantified as user activity on Reddit and active searches on Wikipedia pages, is mainly driven by media coverage; meanwhile, this activity declines rapidly while news exposure and COVID-19 incidence remain high. Furthermore, using an unsupervised, dynamic topic modeling approach, we show that while the levels of attention dedicated to different topics by media outlets and internet users are in good accordance, interesting deviations emerge in their temporal patterns. Overall, our findings offer an additional key to interpret public perception and response to the current global health emergency and raise questions about the effects of attention saturation on people’s collective awareness and risk perception and thus on their tendencies toward behavioral change.
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通讯作者：
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影响因子：
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