Devising a Machine Learning-Based Instagram Fake News Detection System Using Content and Context Features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Computer Vision and Pattern Recognition,Energy Engineering and Power Technology,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s40998-023-00635-4.pdf
Reference24 articles.
1. Ajao O, Bhowmik D & Zargari S (2018) Fake news identification on twitter with hybrid cnn and rnn models. In: Proceedings of the 9th international conference on social media and society, pp 226–230
2. Amer AYA, Siddiqui T (2020) Detection of Covid-19 fake news text data using random forest and decision tree classifiers. Int J Comput Sci Inf Secur (IJCSIS) 18(12):88–100
3. Apuke OD, Omar B (2021) Fake news and COVID-19: modelling the predictors of fake news sharing among social media users. Telemat Inf 56:101475
4. Bazm M & Asadpour M (2020) Behavioral modeling of persian instagram users to detect bots. arXiv preprint arXiv:2008.03951
5. de Oliveira NR, Medeiros DSV, Mattos DMF (2020) A sensitive stylistic approach to identify fake news on social networking. IEEE Signal Process Lett 27:1250–1254
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