CoALFake uses human-LLM co-annotation and domain-aware active learning to improve cross-domain fake news detection with low human effort.
Big data8(3), 171–188 (2020)
2 Pith papers cite this work. Polarity classification is still indexing.
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Graph neural networks outperform non-graph baselines like MLP in F1 score on seven multilingual misinformation datasets while maintaining similar or better inference efficiency.
citing papers explorer
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CoALFake: Collaborative Active Learning with Human-LLM Co-Annotation for Cross-Domain Fake News Detection
CoALFake uses human-LLM co-annotation and domain-aware active learning to improve cross-domain fake news detection with low human effort.
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Graph Neural Networks for Misinformation Detection: Performance-Efficiency Trade-offs
Graph neural networks outperform non-graph baselines like MLP in F1 score on seven multilingual misinformation datasets while maintaining similar or better inference efficiency.