CoAID: COVID-19 Healthcare Misinformation Dataset
This dataset helps researchers combat COVID-19 health misinformation, which has caused societal disruptions and health problems, but it is incremental as it provides new data rather than a novel method.
The authors tackled the problem of COVID-19 healthcare misinformation by creating CoAID, a dataset with 4,251 news items, 296,000 user engagements, and 926 social platform posts, including ground truth labels to aid detection and mitigation efforts.
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.