1. Lovelace, A.G.: Tomorrow’s wars and the media. The US Army War College Quarterly: Parameters 52(2), 117–134 (2022)
2. Shahi, G.K., Nandini, D.: FakeCovid–a multilingual cross-domain fact check news dataset for COVID-19. arXiv preprint arXiv:2006.11343 (2020)
3. Shahi, G.K., Majchrzak, T.A.: AMUSED: an annotation framework of multimodal social media data. In: Sanfilippo, F., Granmo, O.C., Yayilgan, S.Y., Bajwa, I.S. (eds.) Intelligent Technologies and Applications. INTAP 2021. CCIS, vol. 1616. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-10525-8_23
4. Cer, D., et al.: Universal sentence encoder for English. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP: System Demonstrations, Brussels, Belgium, October 31–November 4, pp. 169–174. Association for Computational Linguistics (2018)
5. Fatima, K. Salem, A. Feel, R.A. Elbassuoni, S. Jaber, M., Farah, M.: FA-KES: a fake news dataset around the Syrian war. In: Proceedings of the Thirteenth International Conference on Web and Social Media, ICWSM 2019, Munich, Germany, June 11–14, 2019, pp. 573–582. AAAI Press (2019)