activity
20232026
most citedNutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research

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

collaborators

5 papers

cs.CL2026

Can LLMs Understand the Impact of Trauma? Costs and Benefits of LLMs Coding the Interviews of Firearm Violence Survivors

Jessica H. Zhu, Shayla Stringfield, Vahe Zaprosyan +3

Firearm violence is a pressing public health issue, yet research into survivors' lived experiences remains underfunded and difficult to scale. Qualitative research, including in-de…

cs.CL2025

NLP for Social Good: A Survey and Outlook of Challenges, Opportunities, and Responsible Deployment

Antonia Karamolegkou, Angana Borah, Eunjung Cho +30

Natural language processing (NLP) now shapes many aspects of our world, yet its potential for positive social impact is underexplored. This paper surveys work in ``NLP for Social G…

cs.CL2024

DocNet: Semantic Structure in Inductive Bias Detection Models

Jessica Zhu, Iain Cruickshank, Michel Cukier

News will be biased so long as people have opinions. As social media becomes the primary entry point for news and partisan differences increase, it is increasingly important for in…

cs.AI2024★ 4 cited

Nutrition Facts, Drug Facts, and Model Facts: Putting AI Ethics into Practice in Gun Violence Research

Jessica Zhu, Michel Cukier, Joseph Richardson

Objective: Firearm injury research necessitates using data from often-exploited vulnerable populations of Black and Brown Americans. In order to minimize distrust, this study provi…

cs.SI2023

Analysis of Media Writing Style Bias through Text-Embedding Networks

Iain J. Cruickshank, Jessica Zhu, Nathaniel D. Bastian

With the rise of phenomena like `fake news' and the growth of heavily-biased media ecosystems, there has been increased attention on understanding and evaluating media bias. Of par…