CoALFake: A New Cross-Domain Fake News Detection Method Combining Human-Machine Collaborative Annotation and Active Learning

Introduction / Main Floor: CoALFake: A New Cross-Domain Fake News Detection Method Combining Human-Machine Collaborative Annotation and Active Learning

This article introduces the CoALFake framework, which combines human-machine collaborative annotation with domain-aware active learning to address the problems of scarce labeled data and loss of domain features in cross-domain fake news detection, achieving efficient and accurate fake news identification.