Covid19-datasets

Covid19-datasets是由赫特福德大学的研究人员精心策划的一系列数据集，专注于Covid-19相关信息。该数据集包含三类Twitter数据，分别来自特定账户、随机账户和涉及Covid-19相关谣言的账户。数据集大小覆盖了从2020年3月23日至5月13日的五周时间，旨在通过分析社交媒体上的信息传播，帮助研究者理解并应对疫情中的错误信息和谣言。这些数据集的应用领域包括内容分类、验证、情绪分析以及信息传播机制的研究，旨在提高公众对疫情信息的准确性和可靠性。

Covid19-datasets is a carefully curated collection of datasets centered on COVID-19-related information, developed by researchers at the University of Hertfordshire. This dataset encompasses three categories of Twitter data sourced from specific accounts, random accounts, and accounts associated with COVID-19-related rumors, respectively. Spanning a five-week period from March 23 to May 13, 2020, these datasets are designed to help researchers understand and mitigate misinformation and rumors during the COVID-19 pandemic by analyzing information dissemination on social media. Their application areas include content classification, verification, sentiment analysis, and research on information dissemination mechanisms, with the goal of improving the accuracy and reliability of pandemic-related information for the general public.