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Making Social Dynamics and Content Evolution Transparent in Collaboratively Written Text

Flöck, Fabian

Abstract (englisch):
This dissertation presents models and algorithms for accurately and efficiently extracting data from revisioned content in Collaborative Writing Systems about (i) the provenance and history of specific sequences of text, as well as (ii) interactions between editors via the content changes they perform, especially disagreement. Visualization tools are presented to gain further insights into the extracted data. Collaboration mechanisms to be researched with these new data and tools are discussed.


Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Hochschulschrift
Jahr 2016
Sprache Englisch
Identifikator DOI(KIT): 10.5445/IR/1000058165
URN: urn:nbn:de:swb:90-581650
KITopen ID: 1000058165
Verlag Karlsruhe
Umfang IX, 182 S.
Abschlussart Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Prüfungsdaten 28.01.2016
Referent/Betreuer Prof. R. Studer
Lizenz CC BY 3.0 DE: Creative Commons Namensnennung 3.0 Deutschland
Schlagworte Wikipedia, collaborative writing, version control, online collaboration, interactive visualization
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