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Articles

Social signals as design interventions for enhancing citizen science contributions*

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Pages 594-611 | Received 13 Sep 2016, Accepted 20 Feb 2017, Published online: 16 Mar 2017

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Xoco A. Shinbrot, Kelly W. Jones, Greg Newman & Miriam Ramos-Escobedo. (2023) Why citizen scientists volunteer: the influence of motivations, barriers, and perceived project relevancy on volunteer participation and retention from a novel experiment. Journal of Environmental Planning and Management 66:1, pages 122-142.
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Articles from other publishers (13)

Magdalena Henninger, Maren Rottler & Bernd Helmig. (2023) Under Pressure: Social Information on Reference Groups and its Influence on Volunteering Intention—A Survey Experiment. Nonprofit and Voluntary Sector Quarterly, pages 089976402311722.
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Edward Simpson, David Bradley, John Palfreyman & Roger White. (2022) Sustainable Society: Wellbeing and Technology—3 Case Studies in Decision Making. Sustainability 14:20, pages 13566.
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Senuri Wijenayake, Niels van Berkel, Vassilis Kostakos & Jorge Goncalves. (2022) Quantifying determinants of social conformity in an online debating website. International Journal of Human-Computer Studies 158, pages 102743.
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Jian Tang, Xinxue Zhou, Yuxiang (Chris) Zhao & Tianmei Wang. (2021) How the type and valence of feedback information influence volunteers’ knowledge contribution in citizen science projects. Information Processing & Management 58:5, pages 102633.
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Lala Hajibayova, L. P. Coladangelo & Heather A. Soyka. (2021) Exploring the invisible college of citizen science: questions, methods and contributions. Scientometrics 126:8, pages 6989-7003.
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Lala Hajibayova. (2019) (Un)theorizing citizen science: Investigation of theories applied to citizen science studies. Journal of the Association for Information Science and Technology 71:8, pages 916-926.
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Xinxue Zhou, Jian Tang, Yuxiang (Chris) Zhao & Tianmei Wang. (2020) Effects of feedback design and dispositional goal orientations on volunteer performance in citizen science projects. Computers in Human Behavior 107, pages 106266.
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Pietro De Lellis, Shinnosuke Nakayama & Maurizio Porfiri. (2019) Using demographics toward efficient data classification in citizen science: a Bayesian approach. PeerJ Computer Science 5, pages e239.
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Fabio Corradini, Natalia González, Francisco Casado, Verónica Rojas & Martine van der Ploeg. (2019) Usefulness of an opportunistic data analysis approach to evaluate if environmental regulations aim at relevant applications. Geoderma 351, pages 261-269.
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Shinnosuke Nakayama, Marina Torre, Oded Nov & Maurizio Porfiri. (2019) Matching individual attributes with task types in collaborative citizen science. PeerJ Computer Science 5, pages e209.
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Shinnosuke Nakayama, Tyrone J. Tolbert, Oded Nov & Maurizio Porfiri. (2018) Social Information as a Means to Enhance Engagement in Citizen Science‐Based Telerehabilitation. Journal of the Association for Information Science and Technology 70:6, pages 587-595.
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Anna Rudnicka, Anna L. Cox & Sandy J. J. Gould. (2019) Why Do You Need This?. Why Do You Need This?.
Marina Torre, Shinnosuke Nakayama, Tyrone J. Tolbert & Maurizio Porfiri. (2019) Producing knowledge by admitting ignorance: Enhancing data quality through an “I don’t know” option in citizen science. PLOS ONE 14:2, pages e0211907.
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