1. Firoj Alam , Shaden Shaar , Fahim Dalvi , Hassan Sajjad , Alex Nikolov , Hamdy Mubarak , Giovanni Da San Martino , Ahmed Abdelali, Nadir Durrani, Kareem Darwish, et al. 2020 . Fighting the COVID- 19 infodemic: modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society. arXiv preprint arXiv:2005.00033 (2020). Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, et al. 2020. Fighting the COVID-19 infodemic: modeling the perspective of journalists, fact-checkers, social media platforms, policy makers, and the society. arXiv preprint arXiv:2005.00033 (2020).
2. Social Media and Fake News in the 2016 Election
3. Rahul Banerjee , Amar H Kelkar , Aaron C Logan , Navneet S Majhail , and Naveen Pemmaraju . 2021. The democratization of scientific conferences: Twitter in the era of COVID-19 and beyond. Current hematologic malignancy reports 16, 2 ( 2021 ), 132--139. Rahul Banerjee, Amar H Kelkar, Aaron C Logan, Navneet S Majhail, and Naveen Pemmaraju. 2021. The democratization of scientific conferences: Twitter in the era of COVID-19 and beyond. Current hematologic malignancy reports 16, 2 (2021), 132--139.
4. Iz Beltagy , Kyle Lo , and Arman Cohan . 2019. SciBERT: A Pretrained Language Model for Scientific Text . In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) . Association for Computational Linguistics , Hong Kong , China, 3615--3620. https://doi.org/10. 1865 3/v1/D19--1371 10.18653/v1 Iz Beltagy, Kyle Lo, and Arman Cohan. 2019. SciBERT: A Pretrained Language Model for Scientific Text. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, Hong Kong, China, 3615--3620. https://doi.org/10.18653/v1/D19--1371
5. Quantifying and contextualizing the impact of bioRxiv preprints through automated social media audience segmentation