FaKnow: A Unified Library for Fake News Detection. (arXiv:2401.16441v1 [cs.LG])

Over the past years, a large number of fake news detection algorithms based
on deep learning have emerged. However, they are often developed under
different frameworks, each mandating distinct utilization methodologies,
consequently hindering reproducibility. Additionally, a substantial amount of
redundancy characterizes the code development of such fake news detection
models. To address these concerns, we propose FaKnow, a unified and
comprehensive fake news detection algorithm library. It encompasses a variety
of widely used fake news detection models, categorized as content-based …

algorithms arxiv code code development cs.lg deep learning detection development fake fake news frameworks library redundancy reproducibility