文件列表:

modal fusion-based model/
multi-modal model/
tree-based model/
uni-modal model/
LICENSE

# MCFEND The repository "MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection" includes the dataset and code. - **Dataset**: The MCFEND dataset is the first multi-source Chinese fake news detection dataset, which comprises multi-modal content and social context of 23,974 Chinese news pieces collected from 14 fact-checking agencies. - **Code**: The implementation of the baselines and evaluations is based on PyTorch. ## Dataset. The dataset is available at: [Google Drive](https://drive.google.com/drive/folders/1tflhQTkMT_gTTwEw3ESfKS7Sr5w__5u5?usp=sharing) ## Code ### Evaluation Settings In this work, we conducted *cross-source* and *multi-source* evaluations. *Cross-source*: In this setting, baseline systems were exclusively trained using news sourced from Weibo and their corresponding social context in the train set of the MCFEND dataset. *Multi-source*: In this setting, baseline systems were trained with the complete train set of the MCFEND dataset, including news from all sources covered in our dataset and their corresponding social contexts. ### Structure The codes for four types of baseline systems are organized in the following structure: ``` - ./uni-modal model/ - ./multi-modal model/ - ./tree-based model/ - ./modal fusion-based model/ ``` ## Citation If you utilize this repository or dataset, please consider citing our paper presented at WWW 2024. ``` @INPROCEEDINGS{mcfend, title={MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection}, author={Li, Yupeng and He, Haorui and Bai, Jin and Wen, Dacheng}, booktitle={Proc.~of WWW (to apear)}, year={2024}, } ``` ## Acknowledgement The implementation of this repository is based on the following repos: - [BERT and RoBERTa](https://github.com/649453932/Bert-Chinese-Text-Classification-Pytorch) - [CLIP](https://huggingface.co/docs/transformers/model_doc/clip) - [BERT-EMO](https://github.com/RMSnow/WWW2021) - [CAFE](https://github.com/cyxanna/CAFE) - [dEFEND](https://github.com/cuilimeng/dEFEND-web) - [Tree-RvNN and Tree-Transformer](https://github.com/majingCUHK/Rumor_RvNN)

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