Storm crowds: Evidence from Zooniverse on crowd contribution design

Sandra Barbosu and Joshua Gans

Research Policy, 2022, vol. 51, issue 1

Abstract: What is the impact of platform design on crowdsourcing contributions? The proliferation of platforms with distributed content production, such as Wikipedia, Zooniverse, and others, has led to scholarly interest in understanding why individuals contribute to them. One stream of research has investigated contributor motivations, while another growing stream, scattered across several disciplines, has explored the effect of platform design on contributions. One important design element is the extent to which incomplete, or partial, contributions are possible - a concept we refer to in this paper as “tolerance to incompleteness.” We explore the relationship between this design element and crowds’ willingness to contribute in the context of Zooniverse, the world’s largest citizen science platform. Our quasi-experimental empirical approach exploits a format change that decreased tolerance to incompleteness in one Zooniverse project. The results of a difference-in-differences estimation show that after the format change, editors contributed fewer total edits, but more complete edits than predicted in the absence of a change. Users also spent less time contributing to the project post-change. Moreover, we find a trade-off between the quantity and quality of complete edits, with the quality of complete edits lower post-change. Our findings have implications for the design of a growing number of crowdsourcing platforms that involve simple, independent, and well-structured tasks.

Keywords: Citizen science; Crowdsourcing; Difference-in-differences; Natural experiment; Zooniverse (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Related works:
Working Paper: Storm Crowds: Evidence from Zooniverse on Crowd Contribution Design (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:51:y:2022:i:1:s0048733321002092

DOI: 10.1016/j.respol.2021.104414

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