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How Personal Value Orientations Influence Behaviors in Digital Citizen Science

Jeong, Eunmi; Jackson, Corey; Dowthwaite, Liz; Johnson, Cliff; Trouille, Laura

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Authors

Eunmi Jeong

Corey Jackson

Cliff Johnson

Laura Trouille



Abstract

While much research has examined motivations for contributing to citizen science projects, few studies have considered the role of personal values in directing citizen scientists' interactions and contribution patterns. We investigated whether personal values systematically influence the behaviors of individuals who use the Zooniverse platform to select and contribute to citizen science projects. In this paper, we present the results of a research study where we launched a large-scale survey (N = 2, 605) to capture personal values using Schwartz's Portrait Values Questionnaire (PVQ-21). We also extracted system log data from participant interactions on Zooniverse. Our results align with previous research suggesting intrinsic type motivators and values tend to drive specific modes of interaction, e.g., exploring projects in different disciplines. We also see that interaction in social spaces, e.g., discussion boards, is driven by values with a personal focus (e.g., self-enhancement) and social focus. Given these results, we provide several suggestions for managing these and similar projects.

Citation

Jeong, E., Jackson, C., Dowthwaite, L., Johnson, C., & Trouille, L. (2024). How Personal Value Orientations Influence Behaviors in Digital Citizen Science. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1-25. https://doi.org/10.1145/3637341

Journal Article Type Article
Acceptance Date Nov 9, 2023
Online Publication Date Apr 26, 2024
Publication Date Apr 26, 2024
Deposit Date May 7, 2024
Publicly Available Date May 16, 2024
Journal Proceedings of the ACM on Human-Computer Interaction
Electronic ISSN 2573-0142
Publisher Association for Computing Machinery (ACM)
Peer Reviewed Peer Reviewed
Volume 8
Issue CSCW1
Article Number 64
Pages 1-25
DOI https://doi.org/10.1145/3637341
Public URL https://nottingham-repository.worktribe.com/output/34350888
Publisher URL https://dl.acm.org/doi/10.1145/3637341

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