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Case study in political user behavior on Wikipedia
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Fallstudie i politiskt användarbeteende på Wikipedia (Swedish)
Abstract [en]

Wikipedia has since its inception in 2001 become the world’s largest encyclopedia and continues to enjoy a high degree of support from the general public. This report investigate differences in the user creation process of content between political and unpolitical articles. According to the results the revisions per user follow a similar pyramid pattern in both the political and unpolitical articles. When investigating the number of reverts the results differ between the political and unpolitical articles. More reverts are made by semi active users in the political articles.  The report also establish that some political categories exhibit a significantly longer edit history than the Wikipedia average and that these categories contain a disproportionately high number of reverts among their revisions.  Conclusions are that there are differences between political and unpolitical articles in regard to who do reverts and the number of reverts per page.

Abstract [sv]

Wikipedia har sedan det skapades 2001 blivit världens största encyclopedia och den fortsätter erhålla en hög grad av stöd och tillit från allmänheten. Denna rapport undersöker skillnader i användarbeteende under skapande processen av innehåll för politiska och opolitiska artiklar. Det framkom att politiska artiklar uppvisar en liknande pyramid struktur som opolitiska i hänseende till antalet revisioner per användare men att de skiljer sig i hänseende till reverts, som till en högre grad utförs av mellan-aktiva användare i politiska artiklar. Rapporten tar även och visar att vissa politiska kategorier har längre editeringshistorier än Wikipedias genomsnitt och dessa kategorier innehåller en oproportionerligt hög andel reverts bland sina revisioner. Slutsatser är att det finns skillnader mellan politiska och opolitiska artiklar i hänseende till vem som gör reverts och antalet reverts per sida.

Place, publisher, year, edition, pages
2016.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-187493OAI: oai:DiVA.org:kth-187493DiVA: diva2:930605
Educational program
Master of Science in Engineering - Computer Science and Technology
Supervisors
Examiners
Available from: 2016-05-24 Created: 2016-05-24 Last updated: 2016-05-24Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • 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
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  • text
  • asciidoc
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