Enhancing Information Integrity: Machine Learning Methods for Fake News Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9037-5_19
Reference27 articles.
1. Ngada O, Haskins B (2020) Fake news detection using content-based features and machine learning. In: 2020 IEEE Asia-Pacific conference on computer science and data engineering (CSDE), Dec 2020. IEEE, pp 1–6
2. Kaliyar RK, Goswami A, Narang P (2019) Multiclass fake news detection using ensemble machine learning. In: 2019 IEEE 9th international conference on advanced computing (IACC), December 2019. IEEE, pp 103–107
3. Reis JC, Correia A, Murai F, Veloso A, Benevenuto F (2019) Supervised learning for fake news detection. IEEE Intell Syst 34(2):76–81
4. Waikhom L, Goswami RS (2019) Fake news detection using machine learning. In: Proceedings of international conference on advancements in computing & management (ICACM), Oct 2019
5. Bali APS, Fernandes M, Choubey S, Goel M (2019) Comparative performance of machine learning algorithms for fake news detection. In: Advances in computing and data sciences: third international conference, ICACDS 2019, Ghaziabad, India, 12–13 Apr 2019. Revised selected papers, Part II 3. Springer, Singapore, pp 420–430
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