Fake News Detection in Internet Using Deep Learning: A Review-Reference-Cited by-同舟云学术

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Fake News Detection in Internet Using Deep Learning: A Review

Published:2021-12-16 Issue: Volume: Page:55-67
ISSN:1860-949X
Container-title:Studies in Computational Intelligence
language:
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Author:

Barrutia-Barreto Israel,Seminario-Córdova Renzo,Chero-Arana Brian

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-90087-8_3

Reference46 articles.

1. Adriani, R. (2019). The evolution of fake news and the abuse of emerging technologies. European Journal of Social Science, 2(1), 32–38. https://doi.org/10.26417/ejss-2019.v2i1-53

2. Albawi, S., Mohammed, T. A., Al-Zawi, S. (2017). Understanding of a convolutional neural network, in 2017. In International Conference on Engineering and Technology (ICET). Presented at the 2017 International Conference on Engineering and Technology (ICET) (pp. 1–6). https://doi.org/10.1109/ICEngTechnol.2017.8308186.

3. Aldwairi, M., & Alwahedi, A. (2018). Detecting fake news in social media networks. Procedia Computer Science, 141, 215–222. https://doi.org/10.1016/j.procs.2018.10.171

4. Almars, A. M. (2021). Deepfakes detection techniques using deep learning: A survey. Journal Computer Communication, 9, 20–35. https://doi.org/10.4236/jcc.2021.95003

5. Bondielli, A., & Marcelloni, F. (2019). A survey on fake news and rumour detection techniques. Information Sciences, 497, 38–55. https://doi.org/10.1016/j.ins.2019.05.035

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