PHEME-Misinformation-Graphs

Hugging Face This dataset contains mathematical graph representations of Twitter conversation cascades from the PHEME 9-Event rumour dataset. It is designed for Graph-Level Binary Classification tasks to detect misinformation spreading dynamics using Graph Neural Networks (GNNs). Each graph represents a single breaking-news conversation thread. Nodes are individual tweets, and edges represent the "reply-to" network topology. Total Graphs (Cascades): 6,425 Task: Binary Classification (Rumour vs. Non-Rumour) Format: PyTorch Geometric (.pt) and NetworkX (.gpickle)