Crowston, Kevin, and Francesco Bolici. “Impacts of the Use of Machine Learning on Work Design”. 2020. 8th International Conference on Human-Agent Interaction, ACM, 2020, doi:10.1145/3406499.3415070.
- Dalgali, Ayse, and Kevin Crowston. “Factors Influencing Approval of Wikipedia Bots”. Hawai’i International Conference on System Science, 2020, doi:10.24251/HICSS.2020.018.
- Crowston, Kevin, and Amira Rezgui. “Effects of Stigmergic and Explicit Coordination on Wikipedia Article Quality”. Hawai’i International Conference on System Science, 2020, doi:10.24251/HICSS.2020.287.
- Østerlund, Carsten, et al. “Building an Apparatus: Refractive, Reflective and Diffractive Readings of Trace Data”. Journal of the Association for Information Systems, vol. 21, no. 1, 2020, p. Article 10, doi:10.17705/1jais.00590 .
- Jackson, Corey Brian, et al. “Shifting Forms of Engagement: Volunteer Learning in Online Citizen Science”. Proceedings of the ACM on Human-Computer Interaction, no. CSCW, 2020, p. 36, doi:10.1145/3392841.
- Østerlund, Carsten, et al. Folksonomies in Crowdsourcing Platforms: Three Tensions Associated With the Development of Shared Language in Distributed Groups. 2020.
- 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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- Dalgali, Ayse, and Kevin Crowston. “Algorithmic Journalism and Its Impacts on Work”. Computation + Journalism Symposium , (cancelled due to COVID; presented in 2021), 2020, https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf.
- Crowston, Kevin. “Lessons for Supporting Data Science from the Everyday Automation Experience of Spell-Checkers”. 2020. Automation Experience across Domains (AutomationXP20), CHI’20 Workshop, 26 April 2020, Virtual, 2020.