# HMCAN

**Repository Path**: thinking024/HMCAN

## Basic Information

- **Project Name**: HMCAN
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2023-11-09
- **Last Updated**: 2023-11-09

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# 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](https://arxiv.org/abs/2103.00113) (HMCAN). 

![The proposed framework](framework.png)


## 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](https://github.com/MKLab-ITI/image-verification-corpus/tree/master/mediaeval2015)

## 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}
}
```