FakeWatch : a framework for detecting fake news to ensure credible elections
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13278-024-01290-1.pdf
Reference44 articles.
1. Aïmeur E, Amri S, Brassard G (2023) Fake news, disinformation and misinformation in social media: a review. Soc Netw Anal Min 13(1):30. https://doi.org/10.1007/s13278-023-01028-5
2. Alghamdi J, Lin Y, Luo S (2023) Towards COVID-19 fake news detection using transformer-based models. Knowl Based Syst 274:110642. https://doi.org/10.1016/j.knosys.2023.110642
3. Allcott H, Gentzkow M (2017) Social media and fake news in the 2016 election. J Econ Perspect 31(2):211–236
4. Alonso MA, Vilares D, Gómez-Rodríguez C, Vilares J (2021) Sentiment analysis for fake news detection. Electronics. https://doi.org/10.3390/electronics10111348
5. Arora Y, Sikka S (2023) Reviewing fake news classification algorithms. In: Goyal D, Kumar A, Piuri V, Paprzycki M (eds) Proceedings of the third international conference on information management and machine intelligence. Algorithms for intelligent systems, Springer, Singapore, pp 425–429. https://doi.org/10.1007/978-981-19-2065-3_46
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