A regularization based simple shallow perceptron network for detection of fake news in social networks

Author:

Ramya S. P.ORCID,Eswari R.

Publisher

Springer Science and Business Media LLC

Reference43 articles.

1. Adrian MP, Brasoveanu, Razvan Andonie (2019) Semantic Fake News Detection: A Learning Perspective. https://doi.org/10.1007/978-3-030-20521-8_54

2. Ahlem Drif, Zineb Ferhat Hamida and Silvia Giordano (2019)  Fake news detection method on text features. In: The ninth international conference on advances in information mining and management, Nice, France

3. Andrea Galassi, Marco Lippi, Paolo Torroni (2020) Attention in exploiting a speaker’s credibility to detect fake news natural language processing. arXiv:1902.02181v2 [cs.CL]

4. A Kirilin, M Strube (2018) Exploiting a speaker’s credibility to detect fake news. In: (DSJM’18) workshop on data science. Journalism and Media. London. https://publications.h-its.org/publications/396

5. A Galli, E Masciari, V Moscato, G Sperli (2022)  A comprehensive benchmark for fake news detection. J Intell Inform Syst 59(1):237–261. https://doi.org/10.1007/s10844-021-00646-9

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