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Mapping Swedish Parties by Subject Participation on Twitter

In this thesis a subject mapping data mining method has been developed. The method maps the 8 political parties in the Swedish parliament to 25 subjects based on their participation in the subjects on Twitter. The method is based on tweets written by the commissioners in the Swedish parliament and the ministers in the Swedish government between 2018-04-01 and 2019-04-01. The method shows what subjects each party participate in on Twitter and how the participation changes over time. Further, it shows the similarity and dynamics between the parties according to their subject participation. The purpose of the method is to offer a quantitative analysis tool, useful to social scientist, that provides new information about political parties.It can not be concluded how the resulting findings from the method should be interpreted. However, I present three questions to investigate in future work. The questions regard correlation between the subject map and party cooperation, political spectra and public statements.The result indicate that there is a significance issue, due to low participation in certain subjects by specific parties. This issue can be resolved by decreasing the number of subjects or expand the data set on which the subject mapping is based.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-388311
Date January 2019
CreatorsNorberg, Anton
PublisherUppsala universitet, Avdelningen för datalogi
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationUPTEC F, 1401-5757 ; 19024

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