  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.
