A comprehensive survey of fake news in social networks: Attributes, features, and detection approaches
Author:
Publisher
Elsevier BV
Subject
General Computer Science
Reference218 articles.
1. Abdulrahman, B., Awf, M., 2020. Fake news detection using machine learning and deep learning algorithms. In: Proceedings- 2020 International Conference on Advanced Science and Engineering (ICOASE), pp. 18–23. https://doi.org/10.1109/ICOASE51841.2020.9436605.
2. Afroz, S., Brennan, M., Greenstadt, R., 2012. Detecting hoaxes, frauds, and deception in writing style online. In: 2012 IEEE Symposium on Security and Privacy, pp. 461–475. https://doi.org/10.1109/SP.2012.34.
3. Analysis of classifiers for fake news detection;Agarwal;Procedia Comput. Sci.,2019
4. Ahmad, I., Yousaf, M., Yousaf, S., Ahmad, M.O., 2020. Fake news detection using machine learning ensemble methods. Complexity, 2020, 1–11. https://doi.org/10.1155/2020/8885861.
5. Ahmed, H., Traore, I., Saad, S., 2017. Detection of online fake news using n-gram analysis and machine learning techniques. In: International Conference on Intelligent, Secure, and Dependable Systems in Distributed and Cloud Environments, pp. 127–138. https:/doi.org/10.1007/978-3-319-69155-8_9.
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