Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/www2012/paper/1134> ?p ?o. }
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- 1134 creator arpita-ghosh.
- 1134 creator preston-mcafee.
- 1134 type InProceedings.
- 1134 label "Crowdsourcing with Endogenous Entry".
- 1134 sameAs 1134.
- 1134 abstract "We investigate the design of mechanisms to incentivize high quality outcomes in crowdsourcing environments with strategic agents, when entry is an {\em endogenous}, strategic choice. Modeling endogenous entry in crowdsourcing markets 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 with monetary rewards such as TopCoder, to crowdsourced content such as in online Q&A forums. We begin by explicitly constructing the unique mixed-strategy equilibrium for such monotone rank-order mechanisms, and use the participation probability and distribution of qualities from this construction to address the question of designing incentives for two kinds of rewards that arise in the context of crowdsourcing. We first show that for attention rewards, that arise in the crowdsourced {\em content} setting, the entire equilibrium distribution and therefore every increasing statistic, including the maximum and average quality (accounting for participation) improves when the rewards for every rank but the last are as high as possible. In particular, when the cost of producing the lowest possible quality content is low, the optimal mechanism displays all but the poorest contribution. We next investigate how to allocate reward amongst participants in settings where there is a fixed total reward that can be arbitrarily allocated amongst participants, as in crowdsourcing contests. Unlike in models with exogenous entry, here the expected number of participants can be increased by subsidizing entry, which can potentially improve the expected value of the best contribution. However, we show that subsidizing entry does not improve the expected value of the maximum quality, although it may improve the expected value of the total contributions. In fact, we show that free entry is dominated by taxing entry - making all entrants pay a small fee, which is rebated to the winner along with whatever rewards were already assigned, can improve the quality of the best contribution over a winner-take-all contest with no taxes.".
- 1134 hasAuthorList authorList.
- 1134 isPartOf proceedings.
- 1134 keyword "crowdsourcing".
- 1134 keyword "endogenous entry".
- 1134 keyword "game theory".
- 1134 keyword "incentives".
- 1134 title "Crowdsourcing with Endogenous Entry".