DRES: Fake news detection by dynamic representation and ensemble selection (2025.emnlp-main)
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| Challenge: | Existing methods for text-based fake news detection are limited due to context sensitivity and generalization issues. |
| Approach: | They propose a method that leverages instance hardness measures to estimate the classification difficulty for each news article across multiple textual feature representations. |
| Outcome: | The proposed method significantly improves over state-of-the-art methods, confirming the effectiveness of representation selection based on instance hardness and dynamic ensemble selection. |
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