Crowdsourcing with Endogenous Entry
Arpita Ghosh, Preston McAfee

TL;DR
This paper models strategic participation and quality choices in crowdsourcing, designing mechanisms that incentivize high-quality contributions by endogenous entrants, and finds that modest entry taxes can outperform free entry in improving outcomes.
Contribution
It introduces a unique equilibrium analysis for monotone rank-based rewards in endogenous entry crowdsourcing and compares incentive effects of different reward and taxation schemes.
Findings
Optimal rewards for all but the last rank improve equilibrium quality.
Taxing entry with rebates can outperform free entry in quality outcomes.
Subsidizing entry can increase participation and improve top contribution quality.
Abstract
We investigate the design of mechanisms to incentivize high quality in crowdsourcing environments with strategic agents, when entry is an endogenous, strategic choice. Modeling endogenous entry in crowdsourcing is important because there is a nonzero cost to making a contribution of any quality which can be avoided by not participating, and indeed many sites based on crowdsourced content do not have adequate participation. We use a mechanism with monotone, rank-based, rewards in a model where agents strategically make participation and quality choices to capture a wide variety of crowdsourcing environments, ranging from conventional crowdsourcing contests to crowdsourced content as in online Q&A forums. We first explicitly construct the unique mixed-strategy equilibrium for such monotone rank-order mechanisms, and use these participation probabilities and quality distribution to…
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Taxonomy
TopicsAuction Theory and Applications · Experimental Behavioral Economics Studies · Mobile Crowdsensing and Crowdsourcing
