Jackson, Corey, et al. “Teaching Citizen Scientists to Categorize Glitches Using Machine-Learning-Guided Training”. Computers in Human Behavior, vol. 105, 2020, p. 106198, doi:10.1016/j.chb.2019.106198.
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Abstract

<p>Training users in online communities is important for making high performing contributors. However, several conundrums exists in choosing the most effective approaches to training users. For example, if it takes time to learn to do the task correctly, then the initial contributions may not be of high enough quality to be useful. We conducted an online field experiment where we recruited users (N = 386) in a web-based citizen-science project to evaluate the two training approaches.

Year of Publication
2020
Journal
Computers in Human Behavior
Volume
105
Number of Pages
106198
DOI
10.1016/j.chb.2019.106198