1. Alam, F., et al.: 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. Alkhalifa, R. et al.: QMUL-SDS at CheckThat! 2020: determining COVID-19 tweet check-worthiness using an enhanced CT-BERT with numeric expressions. arXiv preprint arXiv:2008.13160 (2020)
3. Apuke, O.D., Omar, B.: Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telematics Inform. 56, 101475 (2020)
4. Lecture Notes in Computer Science;T Elsayed,2019
5. Buda, J., Bolonyai, F.: An ensemble model using N-grams and statistical features to identify fake news spreaders on Twitter. In: CLEF (2020)