The Changing Contours of "Participation" in Data-driven, Algorithmic Ecosystems: Challenges, Tactics, and an Agenda

Contributing to a growing attention to algorithms and algorithmic interaction in the CHI and CSCW communities, this workshop aims to deal centrally with the topic of human "participation" and its changing role to data-driven, algorithmic ecosystems. Such a focus includes projects that involve users in the design of algorithms and "human-in-the-loop" systems, broader investigations into the ways in which "participation" is situated in data-driven activities, as well as conceptual concerns about participation's changing contours in contemporary social computing landscapes. This one- day workshop will be led by academic and industry researchers and sets out to achieve three goals: identify cases and ongoing projects on the topic of participation in algorithmic ecosystems; create a tactical toolkit of key challenges and strategies in this space; and set a forward-facing agenda to provoke further attention to the changing role of participation in contemporary sociotechnical systems.

[1]  Wendy E. Mackay,et al.  Human-Centred Machine Learning , 2016, CHI Extended Abstracts.

[2]  Shagun Jhaver,et al.  Algorithmic Anxiety and Coping Strategies of Airbnb Hosts , 2018, CHI.

[3]  Piia Varis.  [Review of the book Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy, C. O'Neil, 2016] , 2017 .

[4]  Min Kyung Lee.  Algorithmic Mediation in Group Decisions: Fairness Perceptions of Algorithmically Mediated vs. Discussion-Based Social Division , 2017, CSCW.

[5]  Brent J. Hecht,et al.  Turkers, Scholars, "Arafat" and "Peace": Cultural Communities and Algorithmic Gold Standards , 2015, CSCW.

[6]  Rebecca Gray,et al.  Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed , 2015, CHI.

[7]  Tony Doyle,et al.  Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy , 2017, Inf. Soc..

[8]  Wai-Tat Fu,et al.  You Want Me to Work with Who?: Stakeholder Perceptions of Automated Team Formation in Project-based Courses , 2017, CHI.

[9]  Taeyoung Lee,et al.  Us vs. Them: Understanding Artificial Intelligence Technophobia over the Google DeepMind Challenge Match , 2017, CHI.

[10]  Michael Veale,et al.  Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making , 2018, CHI.

[11]  Joseph P. Simmons,et al.  Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them , 2016, Manag. Sci..

[12]  Berkeley J. Dietvorst,et al.  Algorithm Aversion: People Erroneously Avoid Algorithms after Seeing Them Err , 2014, Journal of experimental psychology. General.

[13]  Min Kyung Lee,et al.  A Human-Centered Approach to Algorithmic Services: Considerations for Fair and Motivating Smart Community Service Management that Allocates Donations to Non-Profit Organizations , 2017, CHI.

[14]  Nicholas Diakopoulos,et al.  Accountability in algorithmic decision making , 2016, Commun. ACM.

[15]  Allison Woodruff,et al.  A Qualitative Exploration of Perceptions of Algorithmic Fairness , 2018, CHI.

[16]  Christine T. Wolf.  DIY videos on YouTube: Identity and possibility in the age of algorithms , 2016, First Monday.

[17]  Aaron Halfaker,et al.  Snuggle: designing for efficient socialization and ideological critique , 2014, CHI.

[18]  Laura A. Dabbish,et al.  Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers , 2015, CHI.

[19]  Hany Farid,et al.  The accuracy, fairness, and limits of predicting recidivism , 2018, Science Advances.

[20]  Shirley Gregor,et al.  User participation in decision support systems development: Influencing system outcomes , 2004, Eur. J. Inf. Syst..

[21]  Karrie Karahalios,et al.  Communicating Algorithmic Process in Online Behavioral Advertising , 2018, CHI.

[22]  Ed Summers,et al.  Bots, Seeds and People: Web Archives as Infrastructure , 2016, CSCW.

[23]  Emilee J. Rader,et al.  Explanations as Mechanisms for Supporting Algorithmic Transparency , 2018, CHI.

[24]  Aaron Halfaker,et al.  Value-Sensitive Algorithm Design , 2018, Proc. ACM Hum. Comput. Interact..

[25]  Julia Bullard,et al.  Motivating Invisible Contributions: Framing Volunteer Classification Design in a Fanfiction Repository , 2016, GROUP.