Papers
. (2012). Citizen science system assemblages: Understanding the technologies that support crowdsourced science. In iConference 2012.
citizensciencesystemassemblage.pdf (74 KB). (2012). The future of citizen science: emerging technologies and shifting paradigms. Frontiers In Ecology And The Environment, 10(6), 298–304. https://doi.org/10.1890/110294
. (2014). Planet Hunters and Seafloor Explorers: Legitimate Peripheral Participation Through Practice Proxies in Online Citizen Science. In 17th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2014). https://doi.org/10.1145/2531602.2531721
paper_revised copy to post.pdf (3.15 MB). (2015). Being Present in Online Communities: Learning in Citizen Science. In 7th International Conference on Communities and Technologies. https://doi.org/10.1145/2768545.2768555
C&T_2015_FINAL.pdf (432.26 KB). (2017). Preserving the margins: Supporting creativity and resistance on digital participatory platforms. Proceedings Of The Acm: Human-Computer Interaction, 1(CSCW). https://doi.org/10.1145/3134718
pacmhci083-mugarSC.pdf (254.77 KB). (2018). Appealing to different motivations in a message to recruit citizen scientists: results of a field experiment. Journal Of Science Communication, 17. https://doi.org/10.22323/2.17010202
JCOM_1701_2018_A02.pdf (306.9 KB). (2017). Recruiting messages matter: Message strategies to attract citizen scientists. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026335
cpa143-leeA.pdf (127.53 KB). (2018). Did they login? Patterns of anonymous contributions to online communities. Proceedings Of The Acm On Human-Computer Interaction, 2(CSCW), Article 77. https://doi.org/10.1145/3274346
anonymous-contributions-cameraready.pdf (1.25 MB). (2018). Folksonomies to support coordination and coordination of folksonomies. Computer Supported Cooperative Work, 27(3–6), 647–678. https://doi.org/10.1007/s10606-018-9327-z
ECSCW-Paper-Final.pdf (2.14 MB). (2020). Teaching Citizen Scientists to Categorize Glitches using Machine-Learning-Guided Training. Computers In Human Behavior, 105, 106198. https://doi.org/10.1016/j.chb.2019.106198
MLGT-preprint.pdf (2.43 MB). (2019). Linguistic adoption in online citizen science: A structurational perspective. In International Conference on Information Systems. Retrieved de https://aisel.aisnet.org /icis2019/crowds_social/crowds_social/28/
Linguistic Adoption (ICIS) final.pdf (3.07 MB). (2019). Characterizing Novelty as a Motivator in Online Citizen Science (Syracuse University). In School of Information Studies. Retrieved de https://surface.syr.edu/etd/1046/
. (2016). “Guess what! You’re the first to see this event”: Increasing Contribution to Online Production Communities. In ACM Group. https://doi.org/10.1145/2957276.2957284
. (2020). Shifting forms of Engagement: Volunteer Learning in Online Citizen Science. Proceedings Of The Acm On Human-Computer Interaction, (CSCW), 36. https://doi.org/10.1145/3392841
3392841.pdf (1.13 MB) Novelty_Motivator_2020.pdf (1.15 MB). (2016). Encouraging Work in Citizen Science: Experiments in Goal Setting and Anchoring. In ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW). https://doi.org/10.1145/2818052.2869129
CSCW-abstract.pdf (423.64 KB). (2016). Which Way Did They Go? Newcomer Movement through the Zooniverse. In 19th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW). https://doi.org/10.1145/2818048.2835197
CSCW2016-Roles.pdf (1.38 MB). (2015). Motivations for sustained participation in crowdsourcing: The role of talk in a citizen science case study. In Proceedings of the Forty-eighth Hawai'i International Conference on System Sciences (HICSS-48).
Motivation in Talk Submitted_FINAL(Formatted).pdf (615.94 KB). (2013). Learning at the Seafloor, Looking at the Sky: The Relationship Between Individual Tasks and Collaborative Engagement in Two Citizen Science Projects. In Computer Supported Collaborative Learning. Presented at the Computer Supported Collaborative Learning .
Poster Final.pdf (185.83 KB) Posterv2.pdf (651.78 KB). (2020). The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.719
Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB). (2021). Occasional Groups in Crowdsourcing Platforms. In School of Information Studies. Syracuse University, Syracuse, NY, USA.
Dissertation_MH.pdf (3.92 MB). (2023). Data quality up to the third observing run of Advanced LIGO: Gravity Spy glitch classifications. Classical And Quantum Gravity, 40(6). https://doi.org/10.1088/1361-6382/acb633
. (2017). Gravity Spy: Humans, machines and the future of citizen science. In ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017). https://doi.org/10.1145/3022198.3026329
cpa137-crowstonA.pdf (1.26 MB). (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal Of Human-Computer Studies, 109, 89-101. https://doi.org/10.1016/j.ijhcs.2017.08.005
crowston fagnot to distribute.pdf (3.76 MB)