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

Jacky Visser, John Lawrence

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

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
Pages375-376
Number of pages2
ISBN (Electronic)9781643683065
DOIs
Publication statusPublished - 7 Sep 2022
Event9th International Conference on Computational Models of Argument, COMMA 2022 - Wales, United Kingdom
Duration: 14 Sep 202216 Sep 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume353
ISSN (Print)0922-6389

Conference

Conference9th International Conference on Computational Models of Argument, COMMA 2022
Country/TerritoryUnited Kingdom
CityWales
Period14/09/2216/09/22

Keywords

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

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