Hierarchical Multi-modal Contextual Attention Network for Fake News Detection

This is the source code of SIGIR 2021 paper Hierarchical Multi-modal Contextual Attention Network for Fake News Detection (HMCAN).

Requirments

This code requires the following:

• Python>=3.6
• PyTorch>=1.7.0
• Numpy>=1.19.2
• Scipy>=1.5.4
• Scikit-learn>=0.24.2

Datesets

• TWITTER

Running the experiments

Twitter

python train_demo.py -c configs/twitter.yaml

Cite

If you compare with, build on, or use aspects of HMCAN framework, please cite the following:

@inproceedings{qian2021hierarchical,
  title={Hierarchical multi-modal contextual attention network for fake news detection},
  author={Qian, Shengsheng and Wang, Jinguang and Hu, Jun and Fang, Quan and Xu, Changsheng},
  booktitle={Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  pages={153--162},
  year={2021}
}