COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations

Please cite the following paper when using this dataset:Vanessa Su and Nirmalya Thakur, “COVID-19 on YouTube: A Data-Driven Analysis of Sentiment, Toxicity, and Content Recommendations”, Proceedings of the IEEE 15th Annual Computing and Communication Workshop and Conference 2025, Las Vegas, USA, Jan 06-08, 2025.This dataset contains data of YouTube videos about COVID-19 from January 2023 to October 2024. For each video, the video URL, video ID, video title, video description, date of publication, number of likes, number of views, the duration (in seconds), language, tags, categories, and availability of captions, are presented as separate attributes in the dataset.

使用本数据集时，请引用以下论文：Vanessa Su与Nirmalya Thakur所著《YouTube上的COVID-19：基于数据驱动的情感、毒性及内容推荐分析》，发表于2025年IEEE第15届年度计算与通信研讨会暨会议论文集，美国拉斯维加斯，2025年1月6日至8日。本数据集包含2023年1月至2024年10月期间关于COVID-19的YouTube视频数据。对于每个视频，数据集将视频URL、视频ID、视频标题、视频描述、发布日期、点赞数、观看次数、时长（以秒为单位）、语言、标签、类别及字幕可用性作为独立属性呈现。