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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.

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Volltext §
DOI: 10.5445/IR/1000052545
Coverbild
Zugehörige Institution(en) am KIT Institut für Programmstrukturen und Datenorganisation (IPD)
Publikationstyp Hochschulschrift
Jahr 2016
Sprache Englisch
Identifikator urn:nbn:de:swb:90-525456
KITopen-ID: 1000052545
Verlag KIT, 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
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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