| Will-They-Won't-They: A Very Large Dataset for Stance Detection on Twitter C Conforti, J Berndt, MT Pilehvar, C Giannitsarou, F Toxvaerd, N Collier arXiv preprint arXiv:2005.00388, 2020 | 101 | 2020 |
| STANDER: An expert-annotated dataset for news stance detection and evidence retrieval C Conforti, J Berndt, MT Pilehvar, C Giannitsarou, F Toxvaerd, N Collier Association for Computational Linguistics, 2020 | 10 | 2020 |
| Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus. C Conforti, J Berndt, MT Pilehvar, C Giannitsarou, F Toxvaerd, N Collier Proceedings of the Eleventh Workshop on Computational Approaches to …, 2021 | 9 | 2021 |
| Adversarial Training for News Stance Detection: Leveraging Signals from a Multi-Genre Corpus. C Conforti, J Berndt, M Basaldella, MT Pilehvar, C Giannitsarou, ... Proceedings of the EACL Hackashop on News Media Content Analysis and …, 2021 | 1 | 2021 |
| Information Manipulation and Propagation in Social Networks JM Berndt University of Cambridge, 2017 | | 2017 |
| Anti-Herding and the Advice of Experts JM Berndt London School of Economics, 2014 | | 2014 |
