Explaining arguments with background knowledge : Towards knowledge-based argumentation analysis

Becker, Maria ; Hulpus, Ioana ; Opitz, Juri ; Paul, Debjit ; Kobbe, Jonathan ; Stuckenschmidt, Heiner ; Frank, Anette

[img] PDF
Becker2020_Article_ExplainingArgumentsWithBackgro.pdf - Published

Download (894kB)

DOI: https://doi.org/10.1007/s13222-020-00348-6
URL: https://madoc.bib.uni-mannheim.de/55732
Additional URL: https://link.springer.com/article/10.1007%2Fs13222...
URN: urn:nbn:de:bsz:180-madoc-557322
Document Type: Article
Year of publication: 2020
The title of a journal, publication series: Datenbank-Spektrum
Volume: 20
Issue number: 2
Page range: 131-141
Place of publication: Berlin ; Heidelberg
Publishing house: Springer
ISSN: 1618-2162 , 1610-1995
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Pre-existing license: Creative Commons Attribution 4.0 International (CC BY 4.0)
Subject: 020 Library and information sciences
Abstract: Most information we consume as a society is obtained over the Web. News – often from questionable sources – are spread online, as are election campaigns; calls for (collective) action spread with unforeseen speed and intensity. All such actions have argumentation at their core, and the conveyed content is often strategically selected or rhetorically framed. The responsibility of critical analysis of arguments is thus tacitly transferred to the content consumer who is often not prepared for the task, nor aware of the responsibility.

Dieser Eintrag ist Teil der Universitätsbibliographie.

Das Dokument wird vom Publikationsserver der Universitätsbibliothek Mannheim bereitgestellt.

Metadata export


+ Search Authors in

+ Download Statistics

Downloads per month over past year

View more statistics

You have found an error? Please let us know about your desired correction here: E-Mail

Actions (login required)

Show item Show item