16 citations · 19 across the 7 of their papers we have counts for
5 papers · 1 filter
When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models
Julia Mendelsohn, Ceren Budak
Metaphor, discussing one concept in terms of another, is abundant in politics and can shape how people understand important issues. We develop a computational approach to measure m…
Plurals: A System for Guiding LLMs Via Simulated Social Ensembles
Joshua Ashkinaze, Emily Fry, Narendra Edara +2
Recent debates raised concerns that language models may favor certain viewpoints. But what if the solution is not to aim for a 'view from nowhere' but rather to leverage different…
Seeing Like an AI: How LLMs Apply (and Misapply) Wikipedia Neutrality Norms
Joshua Ashkinaze, Ruijia Guan, Laura Kurek +3
Large language models (LLMs) are trained on broad corpora and then used in communities with specialized norms. Is providing LLMs with community rules enough for models to follow th…
Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies
Julia Mendelsohn, Maya Vijan, Dallas Card +1
Social media enables activists to directly communicate with the public and provides a space for movement leaders, participants, bystanders, and opponents to collectively construct…
Modeling Framing in Immigration Discourse on Social Media
Julia Mendelsohn, Ceren Budak, David Jurgens
The framing of political issues can influence policy and public opinion. Even though the public plays a key role in creating and spreading frames, little is known about how ordinar…