Jacob Thebault-Spieker
Michael Ann DeVito
Alex Leavitt
David Karger
ABSTRACT
CSCW has a rich interdisciplinary and methodological history, and our work focuses on designing and building technologies for collaboration and community as well as evaluating and critiquing these technologies. At the intersection of these interdisciplinary perspectives comes a tension playing out in formal and informal venues: is CSCW’s role to fix and improve existing technologies, or is it to start over and build anew? In this panel, we address this question with an eye towards enabling practicable critique within CSCW, and help navigate this tension that arises in our interdisciplinary community. Our panelists reflect methodological diversity in CSCW and positional differences on these questions. We look forward to a lively, spirited discussion between panelists that build on three provocations and engage the community on this important and critical issue.
- Stevie Chancellor, Eric PS Baumer, and Munmun De Choudhury. 2019. Who is the” Human” in Human-Centered Machine Learning: The Case of Predicting Mental Health from Social Media. Proceedings of the ACM on Human-Computer Interaction 3, CSCW(2019), 1–32.Google Scholar
- Stevie Chancellor, Zhiyuan Lin, Erica L Goodman, Stephanie Zerwas, and Munmun De Choudhury. 2016. Quantifying and predicting mental illness severity in online pro-eating disorder communities. In Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing. 1171–1184.Google ScholarDigital Library
- Allan Dafoe, Yoram Bachrach, Gillian Hadfield, Eric Horvitz, Kate Larson, and Thore Graepel. 2021. Cooperative AI: machines must learn to find common ground. Nature 593, 7857 (May 2021), 33–36. https://doi.org/10.1038/d41586-021-01170-0 Number: 7857 Publisher: Nature Publishing Group.Google Scholar
- Rebecca Fiebrink and Marco Gillies. 2018. Introduction to the Special Issue on Human-Centered Machine Learning. In ACM TiiS, Vol. 8. https://doi.org/10.1177/019263650408863901Google Scholar
- Lilly C. Irani and M. Six Silberman. 2013. Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems(CHI ’13). ACM, New York, NY, USA, 611–620. https://doi.org/10.1145/2470654.2470742Google ScholarDigital Library
- Kaitlin Mahar, Amy X Zhang, and David Karger. 2018. Squadbox: A tool to combat email harassment using friendsourced moderation. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–13.Google ScholarDigital Library
- Cathy O’Neil. 2017. Opinion | The Ivory Tower Can’t Keep Ignoring Tech. The New York Times (Nov. 2017). https://www.nytimes.com/2017/11/14/opinion/academia-tech-algorithms.htmlGoogle Scholar
- Samantha Robertson, Tonya Nguyen, and Niloufar Salehi. 2021. Modeling Assumptions Clash with the Real World: Transparency, Equity, and Community Challenges for Student Assignment Algorithms. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 1–14.Google ScholarDigital Library
- Jeff Smith, Grace Jackson, and Alex Leavitt. 2018. Designing New Ways to Give Context to News Stories. https://medium.com/facebook-design/designing-new-ways-to-give-context-to-news-stories-f6c13604f450Google Scholar
- Katta Spiel. 2021. The Bodies of TEI – Investigating Norms and Assumptions in the Design of Embodied Interaction. In Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction (Salzburg, Austria) (TEI ’21). Association for Computing Machinery, New York, NY, USA, Article 32, 19 pages. https://doi.org/10.1145/3430524.3440651Google ScholarDigital Library
- 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 36th Annual ACM Conference on Human Factors in Computing Systems. 13.Google ScholarDigital Library
- 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. Proc. ACM Hum.-Comput. Interact. 1, CSCW (Dec. 2017), 101:1–101:25. https://doi.org/10.1145/3134736Google ScholarDigital Library
- 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 (April 2017), 21:1–21:40. https://doi.org/10.1145/3058499Google ScholarDigital Library
- Jacob Thebault-Spieker, Loren Terveen, and Brent Hecht. 2017. Towards a Geographic Understanding of the Sharing Economy: Systemic Biases in UberX and TaskRabbit. ACM TOCHI (2017).Google ScholarDigital Library
- Ashley Marie Walker and Michael Ann DeVito. 2020. ”’More Gay’ Fits in Better”: Intracommunity Power Dynamics and Harms in Online LGBTQ+ Spaces. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–15. https://doi.org/10.1145/3313831.3376497Google ScholarDigital Library
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