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How does the language of 'threat' vary across news domains?: a semi-supervised pipeline for understanding narrative components in news contexts
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4466-1567
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0001-8503-0118
2023 (English)In: SAIS 2023: 35th Annual Workshop of the Swedish Artificial Intelligence Society / [ed] Håkan Grahn; Anton Borg; Martin Boldt, Swedish Artificial Intelligence Society , 2023, p. 94-99Conference paper, Published paper (Refereed)
Abstract [en]

By identifying and characterising the narratives told in news media we can better understand political and societal processes. The problem is challenging from the perspective of natural language processing because it requires a combination of quantitative and qualitative methods. This paper reports on work in progress, which aims to build a human-in-the-loop pipeline for analysing how the variation of narrative themes across different domains, based on topic modelling and word embeddings. As an illustration, we study the language associated with the threat narrative in British news media.

Place, publisher, year, edition, pages
Swedish Artificial Intelligence Society , 2023. p. 94-99
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740
Keywords [en]
topic modelling, natural language processing, narrative analysis, text embeddings
National Category
Computer Sciences Language Technology (Computational Linguistics)
Research subject
computational linguistics; Computer Science
Identifiers
URN: urn:nbn:se:umu:diva-213801DOI: 10.3384/ecp199010ISBN: 978-91-8075-274-9 (electronic)OAI: oai:DiVA.org:umu-213801DiVA, id: diva2:1792461
Conference
SAIS 2023, 35th Annual Workshop of the Swedish Artificial Intelligence Society, Karlskrona, Sweden, June 12-13, 2023
Available from: 2023-08-29 Created: 2023-08-29 Last updated: 2023-08-29Bibliographically approved

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Ryazanov, IgorBjörklund, Johanna

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf