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Using intelligent task routing and contribution review to help communities build artifacts of lasting value
Abstract Many online communities are emerging that,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 CALV's 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. they are made available to the community.
Added by wikilit team Added on initial load  +
Collected data time dimension Cross-sectional  +
Comments "We found that value grows more slowly with review before acceptance and a CALV will reach the same final value whether contributions are reviewed before or after they are made available to the community." (p. 1037)
Conclusion A field experiment with 197 contributors sA 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. they are made available to the community.
Data source Experiment responses  + , Websites  + , Wikipedia pages  +
Doi 10.1145/1124772.1124928 +
Google scholar url http://scholar.google.com/scholar?ie=UTF-8&q=%22Using%2Bintelligent%2Btask%2Brouting%2Band%2Bcontribution%2Breview%2Bto%2Bhelp%2Bcommunities%2Bbuild%2Bartifacts%2Bof%2Blasting%2Bvalue%22  +
Has author Daniel Regis Cosley + , Dan Frankowski + , Loren Terveen + , John Riedl +
Has domain Information systems +
Has topic Technical infrastructure + , Other antecedents of participation +
Pages 1037-1046  +
Peer reviewed Yes  +
Publication type Conference paper  +
Published in CHI '06 Proceedings of the SIGCHI conference on Human Factors in computing systems +
Research design Experiment  + , Statistical analysis  +
Research questions 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?
Revid 11,025  +
Theories Undetermined
Theory type Explanation  +
Title Using intelligent task routing and contribution review to help communities build artifacts of lasting value
Unit of analysis Article  + , User  +
Url http://dl.acm.org/citation.cfm?id=1124928  +
Wikipedia coverage Case  +
Wikipedia data extraction Live Wikipedia  +
Wikipedia language N/A  +
Wikipedia page type Article  +
Year 2006  +
Creation dateThis property is a special property in this wiki. 15 March 2012 20:32:24  +
Categories Technical infrastructure  + , Other antecedents of participation  + , Information systems  + , Publications  +
Modification dateThis property is a special property in this wiki. 30 January 2014 20:32:12  +
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