1. Pew Research Center. 2021. News on Twitter: Consumed by Most Users and Trusted by Many. Retrieved from https://www.pewresearch.org/journalism/2021/11/15/news-on-twitter-consumed-by-most-users-and-trusted-by-many/ Pew Research Center. 2021. News on Twitter: Consumed by Most Users and Trusted by Many. Retrieved from https://www.pewresearch.org/journalism/2021/11/15/news-on-twitter-consumed-by-most-users-and-trusted-by-many/
2. Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning
3. Predicting political sentiments of voters from Twitter in multi-party contexts
4. Tumasjan , A. , Sprenger , T. , Sandner , P. , & Welpe , I. 2010 , May. Predicting elections with twitter: What 140 characters reveal about political sentiment . In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 4, No. 1 , pp. 178 - 185 ). Tumasjan, A., Sprenger, T., Sandner, P., & Welpe, I. 2010, May. Predicting elections with twitter: What 140 characters reveal about political sentiment. In Proceedings of the International AAAI Conference on Web and Social Media (Vol. 4, No. 1, pp. 178-185).
5. A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data