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Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.

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ARG

Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", which has been accepted by AAAI 2024.

Dataset

The experimental datasets where can be seen in data folder. Note that you can download the datasets only after an "Application to Use the Datasets from ARG for Fake News Detection" has been submitted.

Code

Requirements

  • python==3.10.13

  • CUDA: 11.3

  • Python Packages:

    pip install -r requirements.txt
    

Pretrained Models

You can download pretrained models (bert-base-uncased and chinese-bert-wwm-ext) and change paths (bert_path) in the corresponding scripts.

Run

You can run this model through run_zh.sh for chinese dataset and run_en.sh for english dataset.

How to Cite

@article{hu2023bad,
  title={Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection},
  author={Hu, Beizhe and Sheng, Qiang and Cao, Juan and Shi, Yuhui and Li, Yang and Wang, Danding and Qi, Peng},
  journal={arXiv preprint arXiv:2309.12247},
  year={2023}
}

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Official repository for "Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection", AAAI 2024.

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  • Python 82.4%
  • Shell 13.1%
  • Jupyter Notebook 4.5%