1 citations · 1 across the 8 of their papers we have counts for
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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…
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…
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…
Communication styles and reader preferences of LLM- and human-authored COVID-19 information explanations: a case study
Jiawei Zhou, Kritika Venkatachalam, Minje Choi +2
With the wide adoption of large language models (LLMs) in information assistance, it is essential to examine their alignment with human communication styles and values. We situate…