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

@inproceedings{citeulike:617159, 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 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.}, address = {New York, NY, USA}, author = {Cosley, Dan and Frankowski, Dan and Terveen, Loren and Riedl, John}, booktitle = {CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems}, citeulike-article-id = {617159}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1124928}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1124772.1124928}, doi = {10.1145/1124772.1124928}, isbn = {1-59593-372-7}, keywords = {community, intelligent\_task\_routing, member-maintained, models, wikipedia}, location = {Montr\'{e}al, Qu\'{e}bec, Canada}, pages = {1037--1046}, posted-at = {2006-05-08 13:48:29}, priority = {3}, publisher = {ACM}, title = {Using intelligent task routing and contribution review to help communities build artifacts of lasting value}, url = {http://dx.doi.org/10.1145/1124772.1124928}, year = {2006} }

TY - CONF ID - citeulike:617159 L3 - citeulike-article-id:617159 N2 - 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. CY - Montr\'{e}al, Qu\'{e}bec, Canada SN - 1-59593-372-7 AD - New York, NY, USA EP - 1046 TI - Using intelligent task routing and contribution review to help communities build artifacts of lasting value PB - ACM T2 - CHI '06: Proceedings of the SIGCHI conference on Human Factors in computing systems SP - 1037 KW - community KW - intelligent_task_routing KW - member-maintained KW - models KW - wikipedia AU - Cosley, Dan AU - Frankowski, Dan AU - Terveen, Loren AU - Riedl, John PY - 2006/// UR - http://dx.doi.org/10.1145/1124772.1124928 ER -