3 citations · 5 across the 7 of their papers we have counts for
8 papers
"If You're Not Doing It, Somebody Else Is": Active Negotiation and the Invisible Labor of Sustained LLM Use
Matt Viana, Patrick Erickson, Shomir Wilson +1
Large language models (LLMs) have become fixtures of academic work even as their users describe them as degrading their writing, thinking, and skills. Dominant adoption frameworks…
Organizing in the Digital Age: Understanding Community, Challenges, and Consequences in Digitally-facilitated Labor Organizing
Frederick Reiber, Alishah Chator, Dana Calacci +1
The contemporary American labor force is highly dispersed, necessitating the use of digital communication tools to bridge spatial and temporal gaps in union organizing. This study…
Surveillance, Spacing, Screaming and Scabbing: How Digital Technology Facilitates Union Busting
Frederick Reiber, Nathan Kim, Allison McDonald +1
Despite high approval ratings for unions and growing worker interest in organizing, employees in the United States still face significant barriers to securing collective bargaining…
Dead Zone of Accountability: Why Social Claims in Machine Learning Research Should Be Articulated and Defended
Tianqi Kou, Dana Calacci, Cindy Lin
Many Machine Learning research studies use language that describes potential social benefits or technical affordances of new methods and technologies. Such language, which we call…
FareShare: A Tool for Labor Organizers to Estimate Lost Wages and Contest Arbitrary AI and Algorithmic Deactivations
Varun Nagaraj Rao, Samantha Dalal, Andrew Schwartz +3
What happens when a rideshare driver is suddenly locked out of the platform connecting them to riders, wages, and daily work? Deactivation-the abrupt removal of gig workers' platfo…
FairFare: A Tool for Crowdsourcing Rideshare Data to Empower Labor Organizers
Dana Calacci, Varun Nagaraj Rao, Samantha Dalal +5
Rideshare workers experience unpredictable working conditions due to gig work platforms' reliance on opaque AI and algorithmic systems. In response to these challenges, we found th…
Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy
Varun Nagaraj Rao, Samantha Dalal, Eesha Agarwal +2
Rideshare platforms exert significant control over workers through algorithmic systems that can result in financial, emotional, and physical harm. What steps can platforms, designe…
QuaLLM: An LLM-based Framework to Extract Quantitative Insights from Online Forums
Varun Nagaraj Rao, Eesha Agarwal, Samantha Dalal +2
Online discussion forums provide crucial data to understand the concerns of a wide range of real-world communities. However, the typical qualitative and quantitative methodologies…