M.S. AAI Capstone Chronicles 2024

Detecting Fake News Using Natural Language Processing References

Ahmed H, Traore I, Saad S. (2017). “Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques. In: Traore I., Woungang I., Awad A. (eds) Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments. ISDDC 2017. Lecture Notes in Computer Science, vol 10618. Springer, Cham (pp. 127- 138). Alhasan, Mohammad (2020) Dataset: Fake News Dataset [Kaggle] https://www.kaggle.com/datasets/mohamadalhasan/a-fake-news-dataset-around-the-syria n-war Ahmed, Wasim, et al. (2020, May) Article: COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data https://www.jmir.org/2020/5/e19458 Bahad, P., Saxena, P., & Kamal, R. (2019). Fake News Detection using Bi-directional LSTM-Recurrent Neural Network. Procedia Computer Science , 165 , 74–82. https://doi.org/10.1016/j.procs.2020.01.072 Bhatia, Ruchi (2020), Dataset: Source-based Fake News Classification [Kaggle] https://www.kaggle.com/datasets/shawkyelgendy/fake-news-football?select=real.csv Bharadwaj, Pranav, and Shao, Zongru (June, 2019) Article: Fake news detection with semantic feature and text mining. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3425828 Chandra, Shantanu et al., (2020, Nov 23) Article: Graph-based Modeling of Online Communities for Fake News Detection https://arxiv.org/abs/2008.06274

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