Navigating the Disagreement Space Navigating the Disagreement Space: A Case Study on Persistent YouTube Users' Interactions in Immigration-Related Discussions

This is the dataset employed for the paper "Navigating the Disagreement Space]{Navigating the Disagreement Space: A Case Study on Persistent YouTube Users’ Interactions in Immigration-Related Discussions", published at the ACM Web Science Conference (WebSci ’26). We release both the test set, with the human annotator labels, as well as the whole dataset employed to realize the study, comprising more than 1.6 millions of comments from different YouTube channels. To preserve authors' privacy, the data are anonymized.  As this is social media user data, we request users not to share the dataset with third parties; rather, send them the link to our repository, and we will grant them access as well.  If you use this dataset, please cite our paper:Bassi Davide, Renata Vieira, and Martín Pereira-Fariña. 2026. Navigating the Disagreement Space: A Case Study on Persistent YouTube Users’ Interactions in Immigration-Related Discussions. In 18th ACM Web Science Conference (WebSci ’26), May 26–29, 2026, Braunschweig, Germany. ACM, New York, NY, USA, 11 pages. https://doi.org/10.1145/3795766.3799757