Twitter16

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.

Data and Resources

Cite this as

Bita Azarijoo, Mostafa Salehi, Shaghayegh Najari (2024). Dataset: Twitter16. https://doi.org/10.57702/6906mkt2

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2110.04522
Citation
  • https://doi.org/10.48550/arXiv.2301.04341
Author Bita Azarijoo
More Authors
Mostafa Salehi
Shaghayegh Najari
Homepage https://arxiv.org/abs/1609.07734