Detection of Fake News Using Clustering Algorithms
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3590-9_51
Reference18 articles.
1. Islam, F., Alam, M. M., Hossain, S. S., Motaleb, A., Yeasmin, S., Hasan, M., & Rahman, R. M. (2020, August). Bengali fake news detection. In 2020 IEEE 10th International Conference on Intelligent Systems (IS) (pp. 281–287). IEEE.
2. Lin, J., Tremblay-Taylor, G., Mou, G., You, D., & Lee, K. (2019, December). Detecting fake news articles. In 2019 IEEE International Conference on Big Data (Big Data) (pp. 3021–3025). IEEE.
3. Sharma, D. K., & Garg, S. (2021). IFND: A benchmark dataset for fake news detection. Complex and Intelligent Systems, 1–21.
4. Ahmad, I., Yousaf, M., Yousaf, S., & Ahmad, M. O. (2020). Fake news detection using machine learning ensemble methods. Complexit, 2020.
5. Choraś, M., Pawlicki, M., Kozik, R., Demestichas, K., Kosmides, P., & Gupta, M. (2019, August). Socialtruth project approach to online disinformation (fake news) detection and mitigation. In Proceedings of the 14th International Conference on Availability, Reliability and Security (pp. 1–10).
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