Jacob Thebault-Spieker

Dr. Thebault-Spieker is currently an Assistant Professor in the Information School, at the University of Wisconsin–Madison and holds an affiliate appointment in Computer Science as well. He previously was a postdoc in Computer Science at Virginia Tech, where he worked with Dr. Kurt Luther and the Crowd Intelligence Lab. He earned his PhD in Computer Science at the University of Minnesota, where he was co-advised by Dr. Loren Terveen and Dr. Brent Hecht, as a part of the GroupLens research group.

Research Areas

social computing, geographic bias, data disparity, bias mitigation, ruralness

Selected publications

Jacob Thebault-Spieker, Sukrit Venkatagiri, Naomi Mine, and Kurt Luther. 2023. Diverse Perspectives Can Mitigate Political Bias in Crowdsourced Content Moderation. In 2023 ACM Conference on Fairness, Accountability, and Transparency (FAccT ’23), June 12–15, 2023, Chicago, IL, USA. ACM, New York, NY, USA, 19 pages. https://doi.org/10.1145/3593013.3594080

Jacob Thebault-Spieker, Daniel Kluver, Maximilian A. Klein, Aaron Halfaker, Brent Hecht, Loren Terveen, and Joseph A. Konstan 2017. Simulation Experiments on (the Absence of) Ratings Bias in Reputation Systems. Proceedings of the ACM on Human-Computer Interaction 1, CSCW: 101:1–101:25. https://doi.org/10.1145/3134736

Jacob Thebault-Spieker, Brent Hecht, and Loren Terveen 2018. Geographic Biases Are ’Born, Not Made’: Exploring Contributors’ Spatiotemporal Behavior in OpenStreetMap. In Proceedings of the 2018 ACM Conference on Supporting Groupwork (GROUP ’18), 71–82. https://doi.org/10.1145/3148330.3148350

Jacob Thebault-Spieker, Loren Terveen, and Brent Hecht 2017. Toward a Geographic Understanding of the Sharing Economy: Systemic Biases in UberX and TaskRabbit. ACM Trans. Comput.-Hum. Interact. 24, 3: 21:1–21:40. https://doi.org/10.1145/3058499

Jacob Thebault-Spieker, Aaron Halfaker, Loren G. Terveen, and Brent Hecht 2018. Distance and Attraction: Gravity Models for Geographic Content Production. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI ’18), 148:1–148:13. https://doi.org/10.1145/3173574.3173722″