COVID-VTS: Fact Extraction and Verification on Short Video Platforms

Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava (EACL 2023)

Abstract

We introduce COVID-VTS, a fact-checking dataset for short video platforms. We propose an effective approach to automatically generate large-scale verifiable, trustworthy as well as misleading claims rather than employing human annotators. We propose TwtrDetective, a new explainable fact-checking framework for the short video platform.

Getting Data

• pip install gdown
• gdown https://drive.google.com/uc?id=1xT4QaOZQlZtW9Ul36VCJ4arZQ94-Ok3V
• https://drive.google.com/drive/folders/1xT4QaOZQlZtW9Ul36VCJ4arZQ94-Ok3V?usp=share_link
• You can match the captions with video by video_id.
• Please contact fl3es@umd.edu if you have any questions.

Citing

If you find our paper/code useful, please consider citing:

@article{liu2023covid,
  title={COVID-VTS: Fact Extraction and Verification on Short Video Platforms},
  author={Liu, Fuxiao and Yacoob, Yaser and Shrivastava, Abhinav},
  journal={arXiv preprint arXiv:2302.07919},
  year={2023}
}