1. Francesco Barbieri, Luis Espinosa Anke, and Jose Camacho-Collados. 2022. XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond. In Proceedings of the Thirteenth Language Resources and Evaluation Conference. European Language Resources Association, Marseille, France, 258--266. https: //aclanthology.org/2022.lrec-1.27
2. Learning Political Polarization on Social Media Using Neural Networks
3. Erik Borra and Bernhard Rieder. 2014. Programmed method: Developing a toolset for capturing and analyzing tweets. Aslib journal of information management 66, 3 (2014), 262--278.
4. Toward Automated Fact-Checking
5. rtweet: Collecting and analyzing Twitter data