Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe-Reference-Cited by-同舟云学术

Fake news detection using recurrent neural network based on bidirectional LSTM and GloVe

Published:2024-02-10 Issue:1 Volume:14 Page:
ISSN:1869-5469
Container-title:Social Network Analysis and Mining
language:en
Short-container-title:Soc. Netw. Anal. Min.

Author:

Abualigah Laith,Al-Ajlouni Yazan Yehia,Daoud Mohammad Sh.,Altalhi Maryam,Migdady Hazem

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s13278-024-01198-w.pdf

Reference63 articles.

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3. Albadi N, Kurdi M, Mishra S (2018). Are they our brothers? analysis and detection of religious hate speech in the English twittersphere. In: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) (pp. 69–76). IEEE.

4. Alkhatib M, Shaalan K (2017). Natural language processing for Arabic metaphors: a conceptual approach. In: Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2016 2 (pp. 170-181). Springer International Publishing.https://doi.org/10.1007/978-3-319-48308-5.

5. Alomari KM, ElSherif HM, Shaalan K (2017). Arabic tweets sentimental analysis using machine learning. In: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (pp. 602-610). Cham: Springer International Publishing.https://doi.org/10.1007/978-3-319-60042-0.

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