
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)
Twitter Data
Twitter Data
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
