Using intelligent task rooting and contribution review to help communities build artifacts of lasting value

Dan Cosley, Dan Frankowski, Loren G Terveen, John Riedl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

56 Scopus citations

Abstract

Many online communities are emerging that, like Wikipedia, bring people together to build community-maintained artifacts of lasting value (CALVs). Motivating people to contribute is a key problem because the quantity and quality of contributions ultimately determine a CALVs value. We pose two related research questions: 1) How does intelligent task routing - matching people with work - affect the quantity of contributions? 2) How does reviewing contributions before accepting them affect the quality of contributions? A field experiment with 197 contributors shows that simple, intelligent task routing algorithms have large effects. We also model the effect of reviewing contributions on the value of CALVs. The model predicts, and experimental data shows, that value grows more slowly with review before acceptance. It also predicts, surprisingly, that a CALV will reach the same final value whether contributions are reviewed before or after they are made available to the community.

Original languageEnglish (US)
Title of host publicationCHI 2006
Subtitle of host publicationConference on Human Factors in Computing Systems, Conference Proceedings SIGCHI
Pages1037-1046
Number of pages10
Volume2
StatePublished - Jul 17 2006
EventCHI 2006: Conference on Human Factors in Computing Systems - Montreal, QC, Canada
Duration: Apr 22 2006Apr 27 2006

Other

OtherCHI 2006: Conference on Human Factors in Computing Systems
CountryCanada
CityMontreal, QC
Period4/22/064/27/06

Keywords

  • Contribution models
  • Editorial review
  • Intelligent task routing
  • Member-maintained
  • Online communities
  • Wikipedia

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