COVID-19 Fake News Dataset

该数据集来源于多个社交媒体和事实核查网站，专注于收集有关COVID-19新闻的项目。它包含了经核实来源的真实新闻和虚假新闻文章，并包含了提取统计特征的属性。在类别平衡方面，真实新闻占52.34%，虚假新闻占47.66%。数据集中包含了880个独特的用户名和210个独特的URL域名。规模上，该数据集包含了10,700条社交媒体新闻条目，其任务是进行虚假新闻检测。

This dataset is sourced from multiple social media platforms and fact-checking websites, focusing on collecting COVID-19 news-related content. It includes real and fake news articles with verified sources, alongside attributes for extracting statistical features. In terms of class balance, real news accounts for 52.34% of the dataset, while fake news makes up 47.66%. The dataset contains 880 unique usernames and 210 unique URL domains. With a total of 10,700 social media news entries, its target task is fake news detection.