M.S. AAI Capstone Chronicles 2024

Detecting Fake News Using Natural Language Processing Mahi, Sadman Sakib (2023, June) Dataset: Fake News Detection Dataset with Pre-trained Model [Kaggle] https://www.kaggle.com/datasets/sadmansakibmahi/fake-news-detection-dataset-with-pre -trained-model/data Nelson, T., Kagan, N., Critchlow, C., Hillard, A., & Hsu, A. (2020). The Danger of Misinformation in the COVID-19 Crisis. Missouri Medicine, 117(6), 510–512. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7721433/ Padalko, Halyna, et al. (2024, Jan 08) Article: A novel approach to fake news classification using LSTM-based deep learning model. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10800750/ Phi, M. (2020, June 28). Illustrated guide to LSTM’s and GRU’s: A step-by-step explanation . Medium. https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-by-st ep-explanation-44e9eb85bf21

DeepFindr. (2021, February 25). Explainable AI explained! | #3 LIME [Video]. Youtube. https://www.youtube.com/watch?v=d6j6bofhj2M

Li, Y.-H., Harfiya, L. N., Purwandari, K., & Lin, Y.-D. (2020). Real-time cuffless continuous blood pressure estimation using Deep Learning Model. Sensors , 20 (19), 5606. https://doi.org/10.3390/s20195606 Nakamura, K., Levy, S., & William Yang Wang. (2020). Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020) , 6149–6157.

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