The framework of the proposed model:

Datasets

We have preprocessed the original data. For the complete dataset, please download it from Google Drive link or Baidu Cloud link.

Typical forms of multimodal rumors

Dependencies

• wordcloud==1.8.1
• torch==1.12.1
• torchvision==0.13.1
• tqdm==4.63.1
• Pillow==8.4.0
• torchmetrics==1.4.0.post0
• pandas==1.1.5
• seaborn==0.11.2
• transformers==4.41.2
• numpy==1.26.4
• jieba==0.42.1
• matplotlib==3.3.4

Run

python main.py --dataset twitter --model DEETSA

Acknowledgements

Thank you to Xuming Hu (Tsinghua University, Beijing, China), Zhijiang Guo (University of Cambridge, Cambridge, United Kingdom), Junzhe Chen (Tsinghua University, Beijing, China), Lijie Wen (Tsinghua University, Beijing, China), and Philip S Yu (University of Illinois at Chicago, Chicago, IL, USA) for providing the dataset.