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