Automated Fact-checking: A Survey

Xia Zeng, Amani Abumansour, Arkaitz Zubiaga

Language and Linguistics Compass. 2021.

As online false information continues to grow, automated fact-checking has gained an increasing amount of attention in recent years. Researchers in the field of Natural Language Processing (NLP) have contributed to the task by building fact-checking datasets, devising automated fact-checking pipelines and proposing NLP methods to further research in the development of different components. This paper reviews relevant research on automated fact-checking covering both the claim detection and claim validation components.

@article{zeng2021automated,
  title={Automated fact-checking: A survey},
  author={Zeng, Xia and Abumansour, Amani S and Zubiaga, Arkaitz},
  journal={Language and Linguistics Compass},
  volume={15},
  number={10},
  pages={e12438},
  year={2021},
  publisher={Wiley Online Library}
}