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Citizen science projects that rely on human computation can attempt to solicit volunteers or use paid microwork platforms such as Amazon Mechanical Turk. To better understand these approaches, this paper analyzes crowdsourced image label data sourced from an environmental justice project looking at wetland loss off the coast of Louisiana. This retrospective analysis identifies key differences between the two populations: while Mechanical Turk workers are accessible, cost-efficient, and rate more images than volunteers (on average), their labels are of lower quality, whereas volunteers can achieve high accuracy with comparably few votes. Volunteer organizations can also interface with the educational or outreach goals of an organization in ways that the limited context of microwork prevents.more » « less
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Spatharioti, Sofia Eleni; Wylie, Sara; Cooper, Seth (, 2021 IEEE Conference on Games (CoG))
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Gandhi, Kutub; Miller, Josh Aaron; Spatharioti, Sofia Eleni; Apte, Archana; Fatehi, Borna; Wylie, Sara; Cooper, Seth (, Proceedings of the 16th International Conference on the Foundations of Digital Games)
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Spatharioti, Sofia Eleni; Wylie, Sara; Cooper, Seth (, Extended Abstracts of the Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts)
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Spatharioti, Sofia Eleni; Fatehi, Borna; Smith, Melanie; Rosenbloom, Avery; Miller, Josh Aaron; Seif El-Nasr, Magy; Wylie, Sara; Cooper, Seth (, International Conference on the Foundations of Digital Games)
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