Arabic Fake News Detection in Social Media Context Using Word Embeddings and Pre-trained Transformers
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Publisher
Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s13369-024-08959-x.pdf
Reference47 articles.
1. Nasir, J.A.; Khan, O.S.; Varlamis, I.: Fake news detection: a hybrid CNN-RNN based deep learning approach. Int. J. Inf. Manag. Data Insights 1(1), 100007 (2021). https://doi.org/10.1016/J.JJIMEI.2020.100007
2. Zhou, X.; Zafarani, R.: A survey of fake news. ACM Comput. Surv.Comput. Surv. 53, 5 (2020). https://doi.org/10.1145/3395046
3. El Ballouli, R.; El-Hajj, W.; Ghandour, A.; Elbassuoni, S.; Hajj, H.; Shaban, K: CAT: Credibility analysis of arabic content on twitter. In: Proceedings of the third Arabic natural language processing workshop. pp. 62–71. (2017). https://doi.org/10.18653/V1/W17-1308
4. Shu, K.; Sliva, A.; Wang, S.; Tang, J.; Liu, H.: Fake news detection on social media: a data mining perspective. ACM SIGKDD Explor. newslett. 19(1), 22–36 (2017)
5. Mehta, D.; Dwivedi, A.; Patra, A.; Anand Kumar, M.: A transformer-based architecture for fake news classification. Soc. Netw. Anal. Min.Netw. Anal. Min. 11, 1–12 (2021). https://doi.org/10.1007/S13278-021-00738-Y
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