• BDANN
• Environment
• Dataset
• Training
• Removed Posts from Weibo
• Citation

BDANN

IJCNN 2020 BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection

Environment

Pytorch 1.4.0
Python 3.8

Dataset

Twitter: “verifying multimedia use” task by MediaEval Benchmarking Initiative for Multimedia Evaluation

Weibo: download from https://drive.google.com/file/d/14VQ7EWPiFeGzxp3XC2DeEHi-BEisDINn/view?usp=sharing

Training

For Twitter dataset:

python BDANN_twitter.py

For Weibo dataset:

python BDANN_weibo.py

Removed Posts from Weibo

https://github.com/xiaolan98/RemovedPostsFromWeibo

Citation

@inproceedings{zhang2020bdann,
  title={BDANN: BERT-Based Domain Adaptation Neural Network for Multi-Modal Fake News Detection},
  author={Zhang, Tong and Wang, Di and Chen, Huanhuan and Zeng, Zhiwei and Guo, Wei and Miao, Chunyan and Cui, Lizhen},
  booktitle={2020 International Joint Conference on Neural Networks (IJCNN)},
  pages={1--8},
  year={2020},
  organization={IEEE}
}