@inproceedings{d1fe5ff30e124633aa550bbcced146fb,
title = "Using intelligent task rooting and contribution review to help communities build artifacts of lasting value",
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.",
keywords = "Contribution models, Editorial review, Intelligent task routing, Member-maintained, Online communities, Wikipedia",
author = "Dan Cosley and Dan Frankowski and Terveen, {Loren G} and John Riedl",
year = "2006",
language = "English (US)",
isbn = "1595931783",
series = "Conference on Human Factors in Computing Systems - Proceedings",
pages = "1037--1046",
booktitle = "CHI 2006",
note = "CHI 2006: Conference on Human Factors in Computing Systems ; Conference date: 22-04-2006 Through 27-04-2006",
}