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

Jacky Visser; John Lawrence

doi:10.3233/FAIA220180

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

Jacky Visser, John Lawrence

Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Computational Models of Argument
Subtitle of host publication	Proceedings of COMMA 2022
Editors	Francesca Toni, Sylwia Polberg, Richard Booth, Martin Caminada, Hiroyuki Kido
Publisher	IOS Press BV
Pages	375-376
Number of pages	2
ISBN (Electronic)	9781643683065
DOIs	https://doi.org/10.3233/FAIA220180
Publication status	Published - 7 Sept 2022
Event	9th International Conference on Computational Models of Argument 2022 - Cardiff University, Cardiff, United Kingdom Duration: 14 Sept 2022 → 16 Sept 2022 https://comma22.cs.cf.ac.uk/

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	353
ISSN (Print)	0922-6389

Conference

Conference	9th International Conference on Computational Models of Argument 2022
Abbreviated title	COMMA 2022
Country/Territory	United Kingdom
City	Cardiff
Period	14/09/22 → 16/09/22
Internet address	https://comma22.cs.cf.ac.uk/

Keywords

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

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.3233/FAIA220180Licence: CC BY-NC

Final Published VersionFinal published version, 108 KBLicence: CC BY-NC

Cite this

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title = "The skeptic web service: Utilising argument technologies for reason-checking",

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.",

keywords = "argument mining, critical literacy, fact-checking, fake news, reason-checking",

author = "Jacky Visser and John Lawrence",

note = "Publisher Copyright: {\textcopyright} 2022 The authors and IOS Press. All rights reserved.; 9th International Conference on Computational Models of Argument 2022, COMMA 2022 ; Conference date: 14-09-2022 Through 16-09-2022",

year = "2022",

month = sep,

day = "7",

doi = "10.3233/FAIA220180",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press BV",

pages = "375--376",

editor = "Francesca Toni and Sylwia Polberg and Richard Booth and Martin Caminada and Hiroyuki Kido",

booktitle = "Computational Models of Argument",

url = "https://comma22.cs.cf.ac.uk/",

}

Visser, J & Lawrence, J 2022, The skeptic web service: Utilising argument technologies for reason-checking. in F Toni, S Polberg, R Booth, M Caminada & H Kido (eds), Computational Models of Argument: Proceedings of COMMA 2022. Frontiers in Artificial Intelligence and Applications, vol. 353, IOS Press BV, pp. 375-376, 9th International Conference on Computational Models of Argument 2022, Cardiff, United Kingdom, 14/09/22. https://doi.org/10.3233/FAIA220180

The skeptic web service: Utilising argument technologies for reason-checking. / Visser, Jacky ; Lawrence, John.
Computational Models of Argument: Proceedings of COMMA 2022. ed. / Francesca Toni; Sylwia Polberg; Richard Booth; Martin Caminada; Hiroyuki Kido. IOS Press BV, 2022. p. 375-376 (Frontiers in Artificial Intelligence and Applications; Vol. 353).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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