Skip to main content


Price-based online knowledge markets

Research Achievements

Price-based online knowledge markets

In a randomized field experiment at Google Answers, we investigate the performance of price-based online knowledge markets by systematically manipulating prices. Specifically, we study the effects of price, tip, and a reputation system on both an answerer's effort and answer quality by posting real reference questions from the Internet Public Library on Google Answers under different pricing schemes. We find that a higher price leads to a significantly longer, but not better, answer, while an answerer with a higher reputation provides significantly better answers. Our results highlight the limitation of monetary incentives and the importance of reputation systems in knowledge market design. (Chen, Ho and Kim 2010)