9 papers
How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process
Yu Fu, Jiawei Zhou, Sichen Jin +3
Data narratives increasingly shape public understanding, but their failures are rarely just isolated factual errors or deceptive charts. Instead, they emerge through a broader mean…
Capability Self-Assessment: Teaching LLMs to Know Their Limits
Haoyan Yang, Reza Shirkavand, Yukai Jin +3
The ability to recognize one's own limitations and decide whether to solve a problem or delegate is fundamental for reliable intelligent systems. Yet we show that modern large lang…
Follow the Rules (or Not): Community Norms and AI-Generated Support in Online Health Communities
Shravika Mittal, Erin Kasson, Layna Paraboschi +5
Generative AI (GenAI) is increasingly being integrated into the online ecosystem, including online health communities (OHCs), where people with diverse health conditions exchange s…
AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse
Jiawei Zhou, Lei Zhang, Mei Li +2
Representation shapes public attitudes and behaviors. With the recent advances and rapid adoption of LLMs, the way these systems are introduced will negotiate societal expectations…
Large Language Models as Information Sources: Distinctive Characteristics and Types of Low-Quality Information
Jiawei Zhou, Amy Z. Chen, Darshi Shah +2
Recent advances in large language models (LLMs) have brought public and scholarly attention to their potential in generating low-quality information. While widely acknowledged as a…
A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health
Jiawei Zhou, Amy Z. Chen, Darshi Shah +2
Recent breakthroughs in large language models (LLMs) have generated both interest and concern about their potential adoption as information sources or communication tools across di…