Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments

Official repository for Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments (ACL 2023)

Stance Dataset

The stance dataset collected for our experiments is provided in the covid_19_treatment_stance_dataset.csv file.

Citation

Please cite if you use our dataset in your research.

@inproceedings{mendes2023hitl_early_detection,
    title={Human-in-the-loop Evaluation for Early Misinformation Detection: A Case Study of COVID-19 Treatments},
    author={Mendes, Ethan and Chen, Yang and Xu, Wei and Ritter, Alan},
    booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics},
    year={2023}
}