CoALFake uses human-LLM co-annotation and domain-aware active learning to improve cross-domain fake news detection with low human effort.
arXiv preprint arXiv:2007.03316 (2020) 20
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Cold users dominate fake news datasets, and the User Evidence Network approximates their absent behavior data from existing user interactions to enable robust misinformation detection.
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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Real-World Challenges in Fake News Detection: Dealing with Posts by Cold Users
Cold users dominate fake news datasets, and the User Evidence Network approximates their absent behavior data from existing user interactions to enable robust misinformation detection.