The skeptic web service: Utilising argument technologies for reason-checking

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Skeptic is a web service aimed at automatically providing pointers for the critical assessment of a persuasive text. That is, with a natural language text as input, the web service returns a ranked list of questions designed to help readers reason-check fake news and other contentious texts. Internally, Skeptic maps argumentative features of the text to methods for critical assessment, such as the critical questions of argument schemes, ways of evaluating different types of propositions, and signs of possible biased reasoning. The argumentative features are retrieved by utilising extant techniques for argument mining and classification.

Original languageEnglish
Title of host publicationComputational Models of Argument
Subtitle of host publicationProceedings of COMMA 2022
EditorsFrancesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, Hiroyuki Kido
PublisherIOS Press BV
Number of pages2
ISBN (Electronic)9781643683065
Publication statusPublished - 7 Sept 2022
Event9th International Conference on Computational Models of Argument 2022 - Cardiff University, Cardiff, United Kingdom
Duration: 14 Sept 202216 Sept 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


Conference9th International Conference on Computational Models of Argument 2022
Abbreviated titleCOMMA 2022
Country/TerritoryUnited Kingdom
Internet address


  • argument mining
  • critical literacy
  • fact-checking
  • fake news
  • reason-checking

ASJC Scopus subject areas

  • Artificial Intelligence


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