Propagation Structure as a Signal for Misinformation Detection with Graph Neural Networks and Edgeless Baselines (Technical Report)
Propagation-based detectors classify a story from the shape of the cascade that carries it, and they report strong benchmark figures. This article measures what those figures are worth. On UPFD, a bidirectional graph convolutional network reaches macro-F1 0.832 on PolitiFact and 0.920 on GossipCop. Handed the same node...