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Twitter15

Rumor detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks. This paper proposes a novel Claim-guided Hierarchical Graph Attention Network based on undirected interaction graphs to learn graph attention-based embeddings that attend to user interactions for rumor detection.

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Cite this as

Bita Azarijoo, Mostafa Salehi, Shaghayegh Najari (2024). Dataset: Twitter15. https://doi.org/10.57702/8hfx118o

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Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.48550/arXiv.2311.12699
Citation	https://doi.org/10.48550/arXiv.2110.04522 https://doi.org/10.48550/arXiv.2301.04341
Author	Bita Azarijoo
More Authors	Mostafa Salehi Shaghayegh Najari
Homepage	https://arxiv.org/abs/1704.06058