Automated fact‐checking: A survey
Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga
Abstract
Abstract 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 article reviews relevant research on automated fact‐checking covering both the claim detection and claim validation components.
Topics & Concepts
Computer scienceTask (project management)Field (mathematics)Natural language processingArtificial intelligenceData scienceInformation retrievalPure mathematicsMathematicsManagementEconomicsTopic ModelingMisinformation and Its ImpactsSentiment Analysis and Opinion Mining