A New Method Based on Deep Learning and Time Stabilization of the Propagation Path for Fake News Detection
Author:
Affiliation:
1. Islamic Azad University,Faculty of Computer and Information, Technology Engineering Qazvin Branch,Qazvin,Iran
2. Alzahra University,Department of Computer Engineering,Tehran,Iran
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9685018/9685057/09685211.pdf?arnumber=9685211
Reference19 articles.
1. Toward a Game Theoretic Model of Information Release in Social Media with Experimental Results
2. A Survey of Fake News
3. Detection of Online Fake News Using N-Gram Analysis and Machine Learning Techniques
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1. Enriching the Fake News Process of Classifying Model using Deep Learning and Machine Learning Algorithm;International Journal of Advanced Research in Science, Communication and Technology;2024-05-19
2. Detecting Fake News using Advanced Language Models: BERT and RoBERTa;2024 10th International Conference on Web Research (ICWR);2024-04-24
3. Enhancing Fake News Detection Using Classification Algorithms and Deep Learning;2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON);2023-12-01
4. English Text Recognition Deep Learning Framework to Automatically Identify Fake News;Computational Intelligence and Neuroscience;2022-04-28
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