Deep Learning Techniques Used for Fake News Detection: A Review and Analysis

Author:

Akter Yasmeena,Arora Bhavna

Publisher

Springer Nature Singapore

Reference31 articles.

1. Singh VK, Dasgupta R, Raman K, Ghosh I (2017) Automated fake news detection using linguistic analysis and machine learning automated fake news detection using linguistic analysis and machine learning. https://doi.org/10.13140/RG.2.2.16825.67687

2. De Beer D, Matthee M (2021) Approaches to identify fake news : a systematic literature review, no. Macaulay 2018. Springer International Publishing

3. Raza S, Ding C (2021) Fake news detection based on news content and social contexts: a transformer-based approach. Int J Data Sci Anal. https://doi.org/10.1007/s41060-021-00302-z

4. Caucheteux C, Gramfort A, King J-R (2021) Disentangling syntax and semantics in the brain with deep networks. [Online]. Available: http://arxiv.org/abs/2103.01620

5. Nakamura K, Levy S, Wang WY (2020) r/Fakeddit: a new multimodal benchmark dataset for fine-grained fake news detection. In: Lr. 2020—12th international conference languages resources evaluation conference proceeding, pp 6149–6157

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