activity
20242026
most citedWhat We Know About Using Non-Engagement Signals in Content Ranking

7 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Open Benchmark of AI Impact on Humans (ImpactBench): an expert-guided, open platform for the holistic evaluation of AI impact on humans

Chayapatr Archiwaranguprok, Krystal Kirkland, Rachel Poonsiriwong +17

The present work is concerned with how to measure, at scale, the multi-dimensional impact of generative AI models on the individuals who use them. In service of this goal, we intro…

cs.CL2026

EUDAIMONIA: Evaluating Undesirable Dynamics in AI

Jun Rui Huang, Wang Bill Zhu, Ziyi Liu +3

Large language models (LLMs) are increasingly used as conversational partners for companionship, emotional disclosure, and interpersonal advice, but the social dynamics of these in…

cs.CY2025★ 1 cited

Social Media Harm Abatement: Mechanisms for Transparent Public Health Assessment

Nathaniel Lubin, Yuning Liu, Amanda Yarnell +7

Social media platforms have been accused of causing a range of harms, resulting in dozens of lawsuits across jurisdictions. These lawsuits are situated within the context of a long…

cs.CY2024

AI and the Future of Digital Public Squares

Beth Goldberg, Diana Acosta-Navas, Michiel Bakker +24

Two substantial technological advances have reshaped the public square in recent decades: first with the advent of the internet and second with the recent introduction of large lan…

cs.SI2024★ 7 cited

What We Know About Using Non-Engagement Signals in Content Ranking

Tom Cunningham, Sana Pandey, Leif Sigerson +7

Many online platforms predominantly rank items by predicted user engagement. We believe that there is much unrealized potential in including non-engagement signals, which can impro…