An empirical analysis of information search and information sharing in crowdsourcing data analytic contests

摘要

Crowdsourcing provides the ability for contest developers to hold data analytics contests, gathering solutions from a set of potential participants typically allowing participants to communicate using social media for information search and sharing. Using a logarithmic model in an empirical analysis of crowdsourcing data, we find that the contest reward and time, is related, but with decreasing returns, to the number of participants and their effort to solve the contest problem. We also find that designers can gain increasing returns if they can engage additional participants to become a part of the crowdsourcing effort.