Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter.
Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter.
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DOI：
10.1016/j.ipm.2021.102732
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发表时间：
2021-11
影响因子：
8.6
通讯作者：
Alani H
中科院分区：
文献类型：
--
作者：
Burel G;Farrell T;Alani H
纠正误解和错误信念对于将有关COVID-19的可靠信息注入公共话语非常重要，但这对误导性声明的持续扩散有什么影响？事实核查组织制作内容的目的是减少错误信息的传播，但我们对其对特定主题和人口统计数据的错误信息的影响的了解有限。在本文中，我们探讨了COVID-19大流行期间，不同主题、用户人口统计数据和属性的错误信息与事实核查传播之间的关系。我们特别关注2019年12月至2021年1月4日Twitter上出现的错误信息和事实核查。使用传播方差分析，脉冲响应模型和因果分析相结合，我们强调的双向，弱因果关系传播行为之间的错误信息和事实核查。尽管我们观察到，有关COVID-19的事实核查在错误信息传播后很快出现，但其减少整体错误信息传播的能力似乎有限。这一点在有关阴谋论和病毒原因的错误信息中尤为明显。
Correcting misconceptions and false beliefs are important for injecting reliable information about COVID-19 into public discourse, but what impact does this have on the continued proliferation of misinforming claims? Fact-checking organisations produce content with the aim of reducing misinformation spread, but our knowledge of its impact on misinformation for particular topics and demographics is limited. In this article, we explore the relation between misinformation and fact-checking spread during the COVID-19 pandemic for different topics, user demographics and attributes. We specifically follow misinformation and fact-checks emerging from December 2019 until the 4th of January 2021 on Twitter. Using a combination of spread variance analysis, impulse response modelling and causal analysis, we highlight the bidirectional, weak causation spread behaviour between misinformation and fact-checks. Although we observe that fact-checks about COVID-19 are appearing fairly quickly after misinformation is circulated, its ability to reduce overall misinformation spread appears to be limited. This is especially visible for misinformation about conspiracy theories and the causes of the virus.
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影响因子：
4.6
作者：
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通讯作者：
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影响因子：
4.6
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