Filter by author: Chun-Ju Huang

This study explores the role of ChatGPT in science-related information retrieval, building on research conducted in 2023. Drawing on online survey data from seven countries—Australia, Denmark, Germany, Israel, South Korea, Taiwan, and the United States—and two data collection points (2023 and 2024), the study highlights ChatGPT’s growing role as an information intermediary, reflecting the rapid diffusion of generative AI (GenAI) in general. While GenAI adoption is a global phenomenon, distinct regional variations emerge in the use of ChatGPT for science-related searches. Additionally, the study finds that a specific subset of the population is more likely to use ChatGPT for science-related information retrieval. Across all countries surveyed, science-information seekers report higher levels of trust in GenAI compared to non-users. They also exhibit a stronger understanding of how (Gen)AI works and, with some notable exceptions, show greater awareness of its epistemic limitations.

Television series that mix real science and imagery science make up a fascinating genre in popular science. While previous research on entertainment media focuses on Western examples and seldom includes Asian TV series, this study explores how medicine is portrayed in four TV series located in a hospital setting which were broadcasted in Taiwan. Yet, they were produced in different cultures: Taiwan, Japan, South Korea and the United States. We found that the emphasis is more on the social contexts of medicine than on factual medical information. Yet, fictional TV series may be crucial for contextualizing science and science-based medicine.