Feature Drift in Fake News Detection: An Interpretable Analysis
In recent years, fake news detection and its characteristics have attracted a number of researchers. However, most detection algorithms are driven by data rather than theories, which causes the existing approaches to only perform well on specific datasets. To the extreme, several features only perfo...
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| Glavni autori: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI AG
2023-01-01
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| Serija: | Applied Sciences |
| Teme: | |
| Online pristup: | https://www.mdpi.com/2076-3417/13/1/592 |
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