coronavirus

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 (Paper accepted for publication, Preprint: https://arxiv.org/abs/2412.17180).

Abstract:

Categories:
Artificial Intelligence
Education and Learning Technologies
Machine Learning
Computational Intelligence
COVID-19
Demographic
Health
97 Views

Five Years of COVID-19 Discourse on Instagram: A Labeled Instagram Dataset of Over Half a Million Posts for Multilingual Sentiment Analysis

To download this dataset without purchasing an IEEE Dataport subscription, please visit: https://zenodo.org/records/13896353

Please cite the following paper when using this dataset:

Categories:
Artificial Intelligence
Education and Learning Technologies
Machine Learning
Other
Social Sciences
Standards Research Data
Biomedical and Health Sciences
Computational Intelligence
COVID-19
Demographic
Education
Age
807 Views

free dataset from news/message boards/blogs about CoronaVirus (4 month of data - 5.2M posts)

Free dataset from news/message boards/blogs about CoronaVirus (4 month of data - 5.2M posts). The time frame of the data is Dec/2019 - March/2020. The posts are in English mentioning at least one of the following: "Covid" OR CoronaVirus OR "Corona Virus".

 

Categories:
COVID-19
3862 Views