VoterFraud2020

VoterFraud2020数据集由康奈尔科技创建，包含760万条与美国2020年选举舞弊相关的推文，以及2560万条转发，涉及260万用户。数据集内容丰富，包括用户互动、转发和引用等详细信息。创建过程中，研究团队通过手动筛选关键词和数据驱动方法，从2020年10月23日至12月16日收集推文。该数据集主要用于研究选举舞弊相关讨论在社交媒体上的传播和影响，特别是在Twitter这一平台上。

The VoterFraud2020 dataset was developed by Cornell Tech. It contains 7.6 million tweets related to the 2020 U.S. election fraud allegations, alongside 25.6 million retweets, involving a total of 2.6 million users. The dataset features rich detailed information including user interactions, retweets, and quoted tweets. During the dataset construction, the research team collected tweets from October 23 to December 16, 2020, utilizing manual keyword screening and data-driven methodologies. This dataset is primarily designed for researching the propagation and influence of discussions surrounding election fraud on social media platforms, with a particular focus on the Twitter platform.