Algorithms at Work: The Practice of Prediction - II: Case Studies of Prediction in Practice

Abstract

This session brings together emerging scholars across multiple disciplines to discuss the relationship between the use of automation and prediction technologies and how those using and working with these technologies make meaning and knowledge. Through in-depth ethnographic research, these papers consider their respective technologies/platforms within the context of the markets, spaces, cultures, and industries in which they are embedded, offering a number of new case studies for expanding our comparative understanding of algorithms-in-practice.

Chair

• Shreeharsh Kelkar, University of California, Berkeley

Discussant

• Shreeharsh Kelkar, University of California, Berkeley

Individual Presentations

• "You Could Get Shot Pulling Over to Take Picture Where I Work": Facial Recognition in Gig Work - Elizabeth Anne Watkins, Columbia University

• Ruminations of the Calculable Cow - Adam Hayes, University of Wisconsin-Madison

• Algorithmic Trust: Aversion vs. Acceptance in Programmatic Advertising - Adam Peri, University of Chicago

• Value Flow and Collapse: YouTube's "Ad-pocalypse" - Brian Pleasants Harper, Indiana University Bloomington

Session Organizer

• Sarah E. Sachs, Cornell University