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Automatic detection of xenophobic narratives: A case study on Swedish alternative media
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Security)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. (Security)
Stockholm Univ, Dept Psychol, Stockholm, Sweden.
Swedish Def Res Agcy, FOI, Stockholm, Sweden.
2016 (English)In: Proc. 14th International Conference on Intelligence and Security Informatics, IEEE Computer Society, 2016Conference paper (Other academic)
Abstract [en]

In this work we use text analysis to analyze communication on a set of Swedish immigration critic alternative media sites. Our analysis is focused on detecting narratives containing xenophobic and conspiratorial stereotypes. We are also interested in identifying differences in emotional tone and pronoun use in a comparison with traditional media. For our analysis we have used the text analysis tool LIWC (Linguistic Inquiry and Word Count) and a set of dictionaries made to capture a xenophobic narrative. The results show that there are significant differences between regular media and immigration critic alternative media when it comes to the use of narratives and also in the emotional tone and pronoun use.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:uu:diva-306903ISI: 000390129600021OAI: oai:DiVA.org:uu-306903DiVA: diva2:1044693
Conference
ISI 2016, September 28–30, Tucson, AZ
Available from: 2016-11-04 Created: 2016-11-04 Last updated: 2017-02-07Bibliographically approved

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