activity
20242026
most citedA Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

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…

cs.HC2026

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…

cs.CY2025

Stop the Nonconsensual Use of Nude Images in Research

Princessa Cintaqia, Arshia Arya, Elissa M Redmiles +3

In order to train, test, and evaluate nudity detection models, machine learning researchers typically rely on nude images scraped from the Internet. Our research finds that this co…

cs.CY2024

The Sociotechnical Stack: Opportunities for Social Computing Research in Non-consensual Intimate Media

Li Qiwei, Allison McDonald, Oliver L. Haimson +2

Non-consensual intimate media (NCIM) involves sharing intimate content without the depicted person's consent, including "revenge porn" and sexually explicit deepfakes. While NCIM h…

cs.CY2024★ 4 cited

A Canary in the AI Coal Mine: American Jews May Be Disproportionately Harmed by Intellectual Property Dispossession in Large Language Model Training

Heila Precel, Allison McDonald, Brent Hecht +1

Systemic property dispossession from minority groups has often been carried out in the name of technological progress. In this paper, we identify evidence that the current paradigm…