The COVID-19 social media infodemic.
The COVID-19 social media infodemic.
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DOI：
10.1038/s41598-020-73510-5
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发表时间：
2020-10-06
影响因子：
4.6
通讯作者：
Scala A
中科院分区：
文献类型：
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作者：
Cinelli M;Quattrociocchi W;Galeazzi A;Valensise CM;Brugnoli E;Schmidt AL;Zola P;Zollo F;Scala A
我们通过在推特、Instagram、YouTube、Reddit和Gab上进行大量数据分析，解决了关于新冠肺炎的信息传播问题。我们分析了人们对新冠肺炎话题的参与度和兴趣，并为每个平台及其用户提供了对全球范围内话语演变的差异化评估。我们将信息传播与表征每个社交媒体平台的基本再现数的流行病模型进行了拟合。此外，我们识别从可疑来源传播的信息，在每个平台中发现不同数量的错误信息。然而，来自可靠和可疑来源的信息并不呈现不同的传播模式。最后，我们给出了谣言放大的与平台相关的数值估计。
We address the diffusion of information about the COVID-19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID-19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform and their users. We fit information spreading with epidemic models characterizing the basic reproduction number for each social media platform. Moreover, we identify information spreading from questionable sources, finding different volumes of misinformation in each platform. However, information from both reliable and questionable sources do not present different spreading patterns. Finally, we provide platform-dependent numerical estimates of rumors’ amplification.