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 the Chinese dataset and run_en.sh for the English dataset.

How to Cite

@inproceedings{hu2024bad,
  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},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={38},
  number={20},
  pages={22105--22113},
  doi={10.1609/aaai.v38i20.30214},
  year={2024}
}

Relevant Resources

• Paper List LLM-for-misinformation-research: https://github.com/ICTMCG/LLM-for-misinformation-research/
• Tutorial @SIGIR 2024 Preventing and Detecting Misinformation Generated by Large Language Models: https://sigir24-llm-misinformation.github.io/