Automated fact-checking: A survey

IF 2.8 0 LANGUAGE & LINGUISTICS

Language and Linguistics Compass Pub Date : 2021-10-04 DOI:10.1111/lnc3.12438

Xia Zeng, Amani S. Abumansour, Arkaitz Zubiaga

引用次数: 48

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.

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自动事实核查:一项调查

随着网上虚假信息的持续增长，自动化事实核查近年来获得了越来越多的关注。自然语言处理(NLP)领域的研究人员通过构建事实检查数据集、设计自动事实检查管道和提出NLP方法来进一步研究不同组件的开发，为这项任务做出了贡献。本文综述了自动事实检查的相关研究，包括索赔检测和索赔验证组件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Language and Linguistics Compass LANGUAGE & LINGUISTICS-

CiteScore

5.40

自引率

4.00%

发文量

期刊介绍： Unique in its range, Language and Linguistics Compass is an online-only journal publishing original, peer-reviewed surveys of current research from across the entire discipline. Language and Linguistics Compass publishes state-of-the-art reviews, supported by a comprehensive bibliography and accessible to an international readership. Language and Linguistics Compass is aimed at senior undergraduates, postgraduates and academics, and will provide a unique reference tool for researching essays, preparing lectures, writing a research proposal, or just keeping up with new developments in a specific area of interest.