Ensemble Learning for Fake News Detection: Enhancing Classification Accuracy and Explainability with Structural and Statistical Metadata

Keyphrases

• Misinformation Detection 100%
• Fake News Detection 100%
• Statistical Metadata 100%
• Stacking Ensemble Model 50%
• Fake News Classification 50%
• Automated Fact-checking 50%
• Metadata Features 50%
• Article Length 50%
• Individual Classifiers 50%
• XGBoost Regression 50%
• Explainable Classification 50%
• Model Transparency 50%
• Hybrid Machine Learning 50%
• Fake News Dataset 50%

Earth and Planetary Sciences

• Ensemble Learning 100%
• Stacking 66%
• Xgboost 33%

Computer Science

• Fake News Detection 100%
• Individual Classifier 33%
• Processing Approach 33%