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Incentive Mechanisms and Quality Assurance for Peer Production

Kühne, Conny

Abstract:
We investigate quality assurance and motivation in peer-production settings. We focus on the collaborative creation of structured knowledge. We study, how rating-based incentive mechanisms can increase the quality of the knowledge created. Further, we study how to increase the classification accuracy, in particular the presence of low-competence raters. Finally, we analyze how authors of a scientific conference rate peer reviews, and how authors' ratings can increase the quality of the reviews.


Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Jahr 2016
Sprache Englisch
Identifikator DOI(KIT): 10.5445/IR/1000052545
URN: urn:nbn:de:swb:90-525456
KITopen ID: 1000052545
Verlag Karlsruhe
Abschlussart Dissertation
Fakultät Fakultät für Informatik (INFORMATIK)
Institut Institut für Programmstrukturen und Datenorganisation (IPD)
Prüfungsdaten 03.02.2016
Referent/Betreuer Prof. K. Böhm
Schlagworte Peer Production, Ontologies, Incentives, Collaboration, Classification, Empirical Studies
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