Optimized Fake News Classification: Leveraging Ensembles Learning and Parameter Tuning in Machine and Deep Learning Methods
The proliferation of misinformation across various domains necessitates robust detection mechanisms. With its ability to analyze vast datasets, machine learning emerges as a powerful tool. This research aims to explore fake news detection and emphasize the crucial role of preprocessing techniques. I...
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| Main Authors: | Abubaker A. Alguttar, Osama A. Shaaban, Remzi Yildirim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Applied Artificial Intelligence |
| Online Access: | https://www.tandfonline.com/doi/10.1080/08839514.2024.2385856 |
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