6 papers
How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
Sanjana Gautam, Houjiang Liu, Yujin Choi +1
In the early stages of scientific research, researchers rely on core scholarly judgments to identify relevant literature, assess credible evidence, and determine which directions m…
Rhetorical XAI: Explaining AI's Benefits as well as its Use via Rhetorical Design
Houjiang Liu, Yiheng Su, Matthew Lease
We explore potential benefits of incorporating Rhetorical Design into the design of Explainable Artificial Intelligence (XAI) systems. While XAI is traditionally framed around expl…
Who Owns Creativity and Who Does the Work? Trade-offs in LLM-Supported Research Ideation
Houjiang Liu, Yujin Choi, Sanjana Gautam +3
LLM-based agents offer new potential to accelerate science and reshape research work. However, the quality of researcher contributions can vary significantly depending on human abi…
Argumentative Experience: Reducing Confirmation Bias on Controversial Issues through LLM-Generated Multi-Persona Debates
Li Shi, Houjiang Liu, Yian Wong +4
Multi-persona debate systems powered by large language models (LLMs) show promise in reducing confirmation bias, which can fuel echo chambers and social polarization. However, empi…
Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers
Houjiang Liu, Jacek Gwizdka, Matthew Lease
Given the volume of potentially false claims online, claim prioritization is essential in allocating limited human resources available for fact-checking. In this study, we perceive…
Adapting to LLMs: How Insiders and Outsiders Reshape Scientific Knowledge Production
Huimin Xu, Houjiang Liu, Yan Leng +1
CSCW has long examined how emerging technologies reshape the ways researchers collaborate and produce knowledge, with scientific knowledge production as a central area of focus. As…