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• Propagandist news are particularly insidious among news disorders because they mix oriented messages with factual reports intended to look like reliable news.technical 95%
• Extant approaches based on Language Models such as BERT for propaganda detection are promising but often overfit their training datasets due to biases in data collection.limitation 90%
• The proposed neurosymbolic approach combines non-contextual text embeddings (fastText) with symbolic conceptual features such as genre, topic, and persuasion techniques.method 95%
• The neurosymbolic approach enhances classification robustness and improves generalization to new sources compared to text-only methods.result 85%
• Results show improvements over equivalent text-only methods for propaganda classification.result 90%
• Ablation studies confirm the benefits of the added symbolic features (genre, topic, persuasion techniques) for the classification model.result 85%
• Explainability analyses confirm the benefits of the added symbolic features for the classification model.result 85%

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