Storm crowds: Evidence from Zooniverse on crowd contribution design
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DOI: 10.1016/j.respol.2021.104414
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- Sandra Barbosu & Joshua Gans, 2017. "Storm Crowds: Evidence from Zooniverse on Crowd Contribution Design," NBER Working Papers 23955, National Bureau of Economic Research, Inc.
References listed on IDEAS
- Josh Lerner & Jean Tirole, 2002. "Some Simple Economics of Open Source," Journal of Industrial Economics, Wiley Blackwell, vol. 50(2), pages 197-234, June.
- Carliss Y. Baldwin & Kim B. Clark, 2006. "The Architecture of Participation: Does Code Architecture Mitigate Free Riding in the Open Source Development Model?," Management Science, INFORMS, vol. 52(7), pages 1116-1127, July.
- Yuxiang Zhao & Qinghua Zhu, 2014. "Evaluation on crowdsourcing research: Current status and future direction," Information Systems Frontiers, Springer, vol. 16(3), pages 417-434, July.
- Jiye Baek & Jesse Shore, 2020. "Forum Size and Content Contribution per Person: A Field Experiment," Management Science, INFORMS, vol. 66(12), pages 5906-5924, December.
- Franzoni, Chiara & Sauermann, Henry, 2014. "Crowd science: The organization of scientific research in open collaborative projects," Research Policy, Elsevier, vol. 43(1), pages 1-20.
- Barry L. Bayus, 2013. "Crowdsourcing New Product Ideas over Time: An Analysis of the Dell IdeaStorm Community," Management Science, INFORMS, vol. 59(1), pages 226-244, June.
- Aleksi Aaltonen & Stephan Seiler, 2016. "Cumulative Growth in User-Generated Content Production: Evidence from Wikipedia," Management Science, INFORMS, vol. 62(7), pages 2054-2069, July.
- Yan Huang & Param Vir Singh & Kannan Srinivasan, 2014. "Crowdsourcing New Product Ideas Under Consumer Learning," Management Science, INFORMS, vol. 60(9), pages 2138-2159, September.
- Aisling Irwin, 2018. "No PhDs needed: how citizen science is transforming research," Nature, Nature, vol. 562(7728), pages 480-482, October.
- Linda See & Alexis Comber & Carl Salk & Steffen Fritz & Marijn van der Velde & Christoph Perger & Christian Schill & Ian McCallum & Florian Kraxner & Michael Obersteiner, 2013. "Comparing the Quality of Crowdsourced Data Contributed by Expert and Non-Experts," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-11, July.
- Eric Schenk & Claude Guittard, 2011. "Towards a characterization of crowdsourcing practices," Post-Print halshs-00439256, HAL.
- Jana Gallus, 2017. "Fostering Public Good Contributions with Symbolic Awards: A Large-Scale Natural Field Experiment at Wikipedia," Management Science, INFORMS, vol. 63(12), pages 3999-4015, December.
- Eric Schenk & Claude Guittard, 2011. "Towards a characterization of crowdsourcing practices," Journal of Innovation Economics, De Boeck Université, vol. 0(1), pages 93-107.
- Elizabeth Lyons & Laurina Zhang, 2019. "Trade-offs in motivating volunteer effort: Experimental evidence on voluntary contributions to science," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-12, November.
- Xiaoquan (Michael) Zhang & Feng Zhu, 2011. "Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia," American Economic Review, American Economic Association, vol. 101(4), pages 1601-1615, June.
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Cited by:
- Dahlander, Linus & Beretta, Michela & Thomas, Arne & Kazemi, Shahab & Fenger, Morten H.J. & Frederiksen, Lars, 2023. "Weeding out or picking winners in open innovation? Factors driving multi-stage crowd selection on LEGO ideas," Research Policy, Elsevier, vol. 52(10).
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- Islam, Mazhar & Miller, Jacob & Park, Haemin Dennis, 2017. "But what will it cost me? How do private costs of participation affect open source software projects?," Research Policy, Elsevier, vol. 46(6), pages 1062-1070.
More about this item
Keywords
Citizen science; Crowdsourcing; Difference-in-differences; Natural experiment; Zooniverse;All these keywords.
JEL classification:
- H42 - Public Economics - - Publicly Provided Goods - - - Publicly Provided Private Goods
- O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
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