A Fake News Classification and Identification Model Based on Machine Learning Approach-Reference-Cited by-同舟云学术

A Fake News Classification and Identification Model Based on Machine Learning Approach

Published:2023 Issue: Volume: Page:473-484
ISSN:2367-3370
Container-title:Information and Communication Technology for Competitive Strategies (ICTCS 2022)
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Author:

Kumar Ashish,Ansari M. Izharul Hasan,Singh Kshatrapal

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9304-6_44

Reference20 articles.

1. Gupta S, Meel P (2021) Fake news detection using passive-aggressive classifier. In: Ranganathan G, Chen J, Rocha Á (eds) Inventive communication and computational technologies. Lecture notes in networks and systems, vol 145. Springer, Singapore, p 155–164

2. Granik M, Mesyura V (2017) Fake news detection using naive Bayes classifier. In: 2017 IEEE first Ukraine conference on electrical and computer engineering (UKRCON), Kiev, Ukraine

3. Bhowmik D, Zargari S, Ajao O (2018) Fake news identification on twitter with hybrid CNN and RNN models. In: Proceedings of the 9th international conference on social media and society

4. Zheng L, Zhang J, Cui Q, Li Z, Yang PS, Yang Y (2018) TI-CNN: convolutional neural networks for fake news detection. arXiv preprint arXiv:1806.00749

5. Lakshmanarao A, Swathi Y, Kiran TSR (2019) An efficient fake news detection system using machine learning. Int J Innov Technol Exploring Eng (IJITEE) 8(10)

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