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  • Ryazanov, Igor,1996-Umeå universitet,Institutionen för datavetenskap (author)

How does the language of 'threat' vary across news domains? : a semi-supervised pipeline for understanding narrative components in news contexts

  • Article/chapterEnglish2023

Publisher, publication year, extent ...

  • Swedish Artificial Intelligence Society,2023
  • electronicrdacarrier

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  • LIBRIS-ID:oai:DiVA.org:umu-213801
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-213801URI
  • https://doi.org/10.3384/ecp199010DOI

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  • Language:English
  • Summary in:English

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  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • 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.

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  • Björklund, Johanna,1961-Umeå universitet,Institutionen för datavetenskap(Swepub:umu)joahog02 (author)
  • Umeå universitetInstitutionen för datavetenskap (creator_code:org_t)

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  • In:SAIS 2023: Swedish Artificial Intelligence Society, s. 94-999789180752749

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