Automatic Fake News Detection: A Review Article on State of the Art-Reference-Cited by-同舟云学术

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Automatic Fake News Detection: A Review Article on State of the Art

Published:2023 Issue: Volume: Page:84-93
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
Short-container-title:

Author:

Hemina Karim,Boumahdi Fatima,Madani Amina

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-30396-8_8

Reference38 articles.

1. Karwa, R.R., Gupta, S.R.: Artificial intelligence based approach to validate the authenticity of news. In: 2021 International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), pp. 1–6 (2021)

2. Pavlov, T., Mirceva, G.: Covid-19 fake news detection by using BERT and RoBERTa models. In: 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), pp. 312–316 (2022)

3. Ramkissoon, A.N., Mohammed, S.: An experimental evaluation of data classification models for credibility based fake news detection. In: IEEE International Conference on Data Mining Workshops, ICDMW, November 2020, pp. 93–100 (2020)

4. Patil, D.R.: Fake news detection using majority voting technique. arXiv e-prints, arXiv:2203.09936, March 2022

5. Aphiwongsophon, S., Chongstitvatana, P.: Detecting fake news with machine learning method. In: 2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 528–531. IEEE, July 2018

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1. Arabic Fake News Detection using Ensemble Technique;2023 16th International Conference on Developments in eSystems Engineering (DeSE);2023-12-18

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