Integrating Human-in-the-loop into Swarm Learning for Decentralized Fake News Detection. (arXiv:2201.02048v1 [cs.LG])

Social media has become an effective platform to generate and spread fake
news that can mislead people and even distort public opinion. Centralized
methods for fake news detection, however, cannot effectively protect user
privacy during the process of centralized data collection for training models.
Moreover, it cannot fully involve user feedback in the loop of learning
detection models for further enhancing fake news detection. To overcome these
challenges, this paper proposed a novel decentralized method, Human-in-the-loop
Based Swarm Learning (HBSL), …

arxiv detection fake fake news human learning news