FaCov: COVID-19 Viral News and Rumors Fact-Check Articles Dataset

Shakshi Sharma, Ekanshi Agrawal, Rajesh Sharma, Anwitaman Datta
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引用次数: 8

Abstract

COVID-19, which was first detected in late 2019 in Wuhan, China, has spread to the rest of the world and is currently deemed a global pandemic. A flux of events triggered by a wide ranging set of factors such as virus mutations and waves of infections, imperfect medical and policy interventions, and vested interest driven political posturing all have created a continuous state of uncertainty and strife. In this verbile environment, misinformation and fake news thrive and propagate easily through the modern efficient all-pervading media and social media tools, resulting in an infodemic running its course in conjunction with the pandemic. In this work, we present a COVID-19 related dataset – FaCov – a compilation of fact-checking articles that examine and evaluate some of the most widely circulated rumors and claims concerning the coronavirus. We have collected articles from 13 very popular fact-checking sources, along with information about the articles and the vetted verity assigned to the claims being evaluated. We also share insights into the dataset to highlight and understand the major conversations and conflicts in narratives encompassing the pandemic.
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FaCov: COVID-19病毒新闻和谣言事实核查文章数据集
2019年底在中国武汉首次发现的新冠肺炎已蔓延到世界其他地区,目前被视为全球大流行。病毒突变和感染浪潮等一系列广泛因素引发的一系列事件,不完善的医疗和政策干预,以及既得利益驱动的政治姿态,都造成了持续的不确定和冲突状态。在这种流动的环境中,错误信息和假新闻通过现代高效的无所不在的媒体和社交媒体工具很容易滋生和传播,导致信息大流行与疫情同时发生。在这项工作中,我们提出了一个与COVID-19相关的数据集——FaCov——这是一个事实核查文章的汇编,研究和评估了一些最广泛传播的关于冠状病毒的谣言和说法。我们从13个非常受欢迎的事实核查来源收集了文章,以及关于这些文章的信息和被分配给被评估主张的经过审查的真实性。我们还分享对数据集的见解,以突出和理解有关大流行的叙述中的主要对话和冲突。
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