论文标题
COAID：COVID-19医疗保健错误信息数据集
CoAID: COVID-19 Healthcare Misinformation Dataset
论文作者
论文摘要
不幸的是，随着COVID-19病毒迅速传播到世界各地，与Covid-19有关的错误信息也被创建并像野火一样传播。这种错误信息引起了人们之间的困惑，社会中断，甚至在健康问题中的致命后果。因此，能够理解，检测和减轻这种共同的19个错误信息，不仅具有深厚的智力价值，而且具有巨大的社会影响。因此，为了帮助研究人员打击Covid-19的健康错误信息，我们提出了COAID（Covid-19医疗保健错误信息数据集），并具有多样化的Covid-19医疗保健错误信息，包括网站和社交平台上的虚假新闻，以及用户对此类新闻的社交参与。 COAID包括4,251个新闻，296,000个相关用户参与，926个有关Covid-19的社交平台帖子以及地面真相标签。该数据集可在以下网址找到：https：//github.com/cuilimeng/coaid。
As the COVID-19 virus quickly spreads around the world, unfortunately, misinformation related to COVID-19 also gets created and spreads like wild fire. Such misinformation has caused confusion among people, disruptions in society, and even deadly consequences in health problems. To be able to understand, detect, and mitigate such COVID-19 misinformation, therefore, has not only deep intellectual values but also huge societal impacts. To help researchers combat COVID-19 health misinformation, therefore, we present CoAID (Covid-19 heAlthcare mIsinformation Dataset), with diverse COVID-19 healthcare misinformation, including fake news on websites and social platforms, along with users' social engagement about such news. CoAID includes 4,251 news, 296,000 related user engagements, 926 social platform posts about COVID-19, and ground truth labels. The dataset is available at: https://github.com/cuilimeng/CoAID.
