Boryung Ju, PhD

Boryung Ju, PhD
Professor
PhD: Information Studies, Florida State University
Master's Degree(s): MLIS, Indiana University, Bloomington
223H Peabody Hall
Louisiana State University
Baton Rouge, LA 70803
O: (225) 578-1460
F: (225) 578-4581
Biography
Boryung Ju is a Professor in the School of Information Studies at Louisiana State University. Her research focuses on human-computer interaction, information behavior, and social informatics, with a particular interest in how people engage with information systems and emerging technologies in everyday life. Dr. Ju’s work explores the social and behavioral factors that shape user experiences with information technologies, including AI and digital platforms. Since joining LSU, her scholarly work has appeared in LIS leading scholarly journals and she has presented at a range of international interdisciplinary conferences.
Courses Taught
LIS 2003 Information & Internet Environments
LIS 4511 Information Architecture
LIS 7009 Understanding Research
Research Areas
Human-Computer Interaction, Social Informatics, and Information Behavior & Interaction.
Selected Publications
Ju, B., Stewart, J. B., & Park, S. (in press). ChatGPT across generations: Understanding continued use intention of AI generative technology. Information Research.
Ju, B., Park, S., Stewart, J. B., & Jin, T. (in press). Perceived quality of health information on Wikipedia: A Sociodemographic perspective. Libri International Journal of Libraries and Information Studies.
Ju, B., Stewart, J. B., Park, S., & Walker, J. (2025). Artificial intelligence (AI) powered chatbots: Factors in uptake among early adopters. Aslib Journal of Information Management. https://doi.org/10.1108/AJIM-12-2024-0994
Ju, B., & Stewart, J. B. (2025). Are they getting what they expected? User confirmation and satisfaction with Generative AIs. Proceedings of the Association for Information Science and Technology, 62(1), 946-950.
Ju, B., & Stewart, J. B. (2024). Empowering Users with ChatGPT and Similar Large Language Models (LLMs): Everyday Information Needs, Uses, and Gratification. Proceedings of the Association for Information Science and Technology, 61(1), 172-182.
Ju, B., Jung, Y., & Bourgeois, J. (2024). Wikipedia as an online health information source: Consumers’ satisfaction with information quality. Journal of Information Science Theory and Practice, 12(2), 36-48.
Ju, B., & Stewart, J. B. (2024). Exploring perceived online information quality: a mixed-method approach. Journal of Documentation, 80(1), 239-254.
Stewart, B. J., Ju, B., & Walker, J. J. (2023). A study of COVID‐19 information behaviors among Black Americans. Proceedings of the Association for Information Science and Technology, 60(1), 388-395.
Ju, B., Stewart, J. B., & Jin, T. (2022). “A Bit Hard for us to Explain”: Barrier to Creating New Information in Scientific Collaboration. Library and Information Science Research, 44, 101173 http://doi. Org/10.1016/j.lisr.2022.101173
Yang, S. & Ju, B. (2021). Library support for emergency management during the time of natural disasters: Through the lens of public library Twitter data. Library and Information Science Research, 43(1). https://doi.org/10.1016/j.lisr.2021.101072.
Stewart, B. & Ju, B. (2020). On Black Wikipedians: Motivation behind content contributions. Information Processing and Management, 57(3), 102134.
Selected Presentations
Ju, B., & Stewart, B. Empowering users with ChatGPT and similar large-language models (LLMs): Everyday information needs, motivations, and gratification. Annual Meeting, Association for Information Science & Technology 2024. Calgary, Canada, Oct 2024.
Ju, B., & VanScoy, A. Perceived Online Information Quality: An Empirical Study Using Q Methodology. Annual Meeting, Association for Information Science & Technology 2024. Calgary, Canada, Oct 2024.
Stewart, B., Park, S., & Ju, B. Social influence, trust and future usage: A study of BIPOC users of CHATGPT and other AI chatbots. Annual Meeting, Association for Information Science & Technology 2024. Calgary, Canada, Oct 2024.
Stewart, J. B., Ju, B., & Walker, J. A Study of COVID-19 information behaviors among Black Americans. Annual Meeting, Association for Information Science & Technology 2023. London, UK, Oct 2023.
Ju, B. & Stewart, B. Exploring an information quality framework for Wikipedia articles. Information Seeking in Context (ISIC) Conference 2022, Berlin, Germany (poster presentation; online), Sept 2022.
Ju, B., Jung, Y. & Bourgeois, J. “Seeking health information in Wikipedia and readers’ satisfaction” Association for Information Science & Technology (ASIS&T) Annual Meeting. Salt Lake City, UT, Nov 2021.
Stewart, B. & Ju, B. “A Conceptual framework of data (Info) quality revisited” Association for Information Science & Technology (ASIS&T) Annual Meeting. Salt Lake City, UT, Nov 2021.