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20162026
most citedModeling Political Activism around Gun Debate via Social Media

8 citations · 12 across the 13 of their papers we have counts for

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15 papers · 1 filter

cs.CL2026

PluRule: A Benchmark for Moderating Pluralistic Communities on Social Media

Zoher Kachwala, Bao Tran Truong, Rasika Muralidharan +3

Social media are shifting towards pluralism -- community-governed platforms where groups define their own norms. What violates rules in one community may be perfectly acceptable in…

cs.CL2026

SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification

Migyeong Kang, Jihyun Kim, Hyolim Jeon +6

Psychiatric symptom identification on social media aims to infer fine-grained mental health symptoms from user-generated posts, allowing a detailed understanding of users' mental s…

cs.CL2026

Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based Explainability

Fan Huang, Haewoon Kwak, Jisun An

Large language models (LLMs) increasingly participate in morally sensitive decision-making, yet how they organize ethical frameworks across reasoning steps remains underexplored. W…

cs.CL20261 cited

Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions

Fan Huang, Haewoon Kwak, Jisun An

Large Language Models (LLMs) are increasingly employed in various question-answering tasks. However, recent studies showcase that LLMs are susceptible to persuasion and could adopt…

cs.CL2025

What Helps Language Models Predict Human Beliefs: Demographics or Prior Stances?

Joseph Malone, Rachith Aiyappa, Byunghwee Lee +3

Beliefs shape how people reason, communicate, and behave. Rather than existing in isolation, they exhibit a rich correlational structure--some connected through logical dependencie…

cs.CL2025

Can Lessons From Human Teams Be Applied to Multi-Agent Systems? The Role of Structure, Diversity, and Interaction Dynamics

Rasika Muralidharan, Haewoon Kwak, Jisun An

Multi-Agent Systems (MAS) with Large Language Model (LLM)-powered agents are gaining attention, yet fewer studies explore their team dynamics. Inspired by human team science, we pr…