CoALFake: Collaborative Active Learning with Human-LLM Co-Annotation for Cross-Domain Fake News Detection

1. 1Utilize collaborative active learning to leverage human-LLM co-annotation for fake news detection
2. 2Address the limitations of current detection systems by reducing reliance on labelled data
3. 3Improve generalization across domains by incorporating domain-specific features and avoiding rigid domain categorization
4. 4Apply CoALFake to various domains to enhance fake news detection accuracy

Data scientists and AI engineers on a team can benefit from CoALFake as it improves the accuracy of fake news detection across diverse domains, and product managers can utilize this technology to develop more effective fact-checking tools

💡 CoALFake improves fake news detection by leveraging human-LLM collaboration and reducing reliance on labelled data

📰 CoALFake: Collaborative Active Learning for cross-domain fake news detection with human-LLM co-annotation