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CoAID

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arXiv2020-11-04 更新2024-06-21 收录
下载链接:
https://github.com/cuilimeng/CoAID
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资源简介:
CoAID是由宾夕法尼亚州立大学创建的COVID-19医疗错误信息数据集,包含4,251条新闻,涉及296,000次用户互动和926个社交平台帖子,并附有真实性标签。数据集内容丰富,涵盖了网站和社交平台上的假新闻,以及用户对这些新闻的社交参与。创建过程涉及从可靠和事实检查的网站收集信息,确保数据的真实性。该数据集主要用于帮助研究人员理解和检测COVID-19相关的错误信息,对公共卫生和社会秩序具有重要影响。

CoAID is a COVID-19 medical misinformation dataset developed by Pennsylvania State University. It encompasses 4,251 news articles, 296,000 user interactions and 926 social media posts, with accompanying authenticity labels. The dataset features rich content, covering fake news disseminated on websites and social platforms, as well as user social engagement with such news. During its development, information was collected from reliable, fact-checked sources to ensure the authenticity of the dataset. This resource is primarily used to help researchers understand and detect COVID-19-related misinformation, which has important implications for public health and social order.
提供机构:
宾夕法尼亚州立大学
创建时间:
2020-05-23
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