Crowdsourcing and all-pay auctions
By Dominic DiPalantino, Milan Vojnovic. ACM Conference on Economics and Computation, 2009
322 citations recorded by the source corpus.
Subfields: Computer Science Applications, Management Science and Operations Research, Safety Research
View Paper: https://www.semanticscholar.org/paper/f6822a5ac3ebf7e8e469262bb793a754f477deb8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Fernando González-Ladrón-de-Guevara
- K. Leung
- Irwin King
- Mihaela van der Schaar
- Yuxiang (Chris) Zhao
- Haichao Zheng
- Enrique Estellés Arolas
- Man-Ching Yuen
In Management Science and Operations Research
- Fernando González-Ladrón-de-Guevara
- Irwin King
- Mihaela van der Schaar
- Yuxiang (Chris) Zhao
- Enrique Estellés Arolas
- Qinghua Zhu
- Masataro Asai
- Alex S. Fukunaga
Citations in the corpus
- Task Design, Motivation, and Participation in Crowdsourcing Contests (2011, background): “Economics research of innovation and crowdsourcing contests focuses on two major issues—the reward mechanism and the number of solvers in the contests [6, 22, 27, 28, 58, 63].”
- Reputation-based incentive protocols in crowdsourcing applications (2011, background): “Secondly, such pricing schemes often deploy auctions to set the price [7], which may result in high delay and implementation complexity in order to achieve desirable resource allocations and often cause “currency inflation” on the crowdsourcing websites.”
- A Survey of Crowdsourcing Systems (2011, background): “DiPalantino and Vojnovic [16] modeled a competitive crowdsourcing system, and evidenced that participation rates are logarithmically increasing as a function of the offered reward.”
- The labor economics of paid crowdsourcing (2010, unknown): “There are several papers on the design of incentives in crowdsourcing [5] and on obtaining work from AMT [19, 20], but our paper is most closely related to work by Watts and Mason [17], who also conducted labor supply experiments.”
- Evaluation on crowdsourcing research: Current status and future direction (2012, background): “…important in many IS areas, and some studies have focused on the incentive aspects of crowdsourcing, especially from the economics which looks at incentive issues from a game theoretic perspective (Archak and Sundararajan 2009; DiPalantino and Vojnovic 2009; Horton and Chilton 2010; Wilcox 2000).”
- Towards an integrated crowdsourcing definition (2012, background): “The first considers that the crowd should just undertake tasks [6, 25, 28, 30, 38, 46, 47, 36], specifying at times the difficulty or size of these tasks [30], a given characteristic such as being done via the web [26], or of being human intelligence tasks [33].”