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IoT on Twitter: A Mixed Methods Study
Umeå University, Faculty of Social Sciences, Department of Informatics.
2017 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Place, publisher, year, edition, pages
2017.
Series
Informatik Student Paper Master (INFSPM) ; 2018.05
Keywords [en]
Mixed Methods, Hashtags, Discourse Theory, Social Media, Twitter, IoT, Internet of Things, Sentiment Analysis
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:umu:diva-149232OAI: oai:DiVA.org:umu-149232DiVA, id: diva2:1220763
Educational program
Master's Programme in IT Management
Supervisors
Examiners
Available from: 2018-06-21 Created: 2018-06-19 Last updated: 2018-06-21Bibliographically approved

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fulltext(1417 kB)51 downloads
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5ad62ccc8df22803b05031e7a9e28c71278a8492a4c247a1eb23b87ae647e47d89a4f42c55ed60a803e2c2fa7750c3a27f296833c5f770a87d5c265c8c8941e1
Type fulltextMimetype application/pdf

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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  • en-US
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Output format
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