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ZENODO
Dataset . 2026
Data sources: ZENODO
ZENODO
Dataset . 2026
Data sources: Datacite
ZENODO
Dataset . 2026
Data sources: Datacite
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PHEME-Misinformation-Graphs

PHEME Misinformation Cascades (PyTorch Geometric)
Authors: Batista, Nuno;

PHEME-Misinformation-Graphs

Abstract

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)

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EOSC Subjects

Twitter Data

  • BIP!
    Impact byBIP!
    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
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average