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CMAWSCL

Code for Chinese Fake News Detection Model Based on Cross-Modal Attention Mechanism and Weak-supervised Contrastive Learning

Environemt

pip install -r requirements.txt

Code Structure

-- model: TextEncoder.py, ImageEncoder.py, model.py
-- data: dataloader.py
-- results: logs, results, imgs, models
-- Pretrained: bert_base_chinese, vit_base
-- main.py
-- train.py
-- requirements.txt

Datasets

Weibo17

Access to the Weibo17 dataset is available by citing the following paper:

Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Jiebo Luo: Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs. ACM Multimedia 2017: 795-816

Weibo21

To access the Weibo21 dataset, you must agree to the terms outlined in the application form.

Citations

If you use this code as part of any published research, we'd really appreciate it if you could cite the following paper:


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Chinese Fake News Detection Model Based on Cross-Modal Attention Mechanism and Weak-supervised Contrastive Learning

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