71 citations · 98 across the 8 of their papers we have counts for
8 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…
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…
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…
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…
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…
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…
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
Houjiang Liu, Anubrata Das, Alexander Boltz +4
While many Natural Language Processing (NLP) techniques have been proposed for fact-checking, both academic research and fact-checking organizations report limited adoption of such…
The State of Human-centered NLP Technology for Fact-checking
Anubrata Das, Houjiang Liu, Venelin Kovatchev +1
Misinformation threatens modern society by promoting distrust in science, changing narratives in public health, heightening social polarization, and disrupting democratic elections…