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Jun Luo WEBSITE
Dr. Jun Luo is an Assistant Professor in the School of Humanities and Social Science at the Chinese University of Hong Kong, Shenzhen. She obtained her PhD in Communication from the University of California, Los Angeles (UCLA) in 2025.
Her research explores algorithmic bias in digital journalism, media impact on political extremism, and public trust in news. Her work blends tools from natural language processing, survey experiments, and causal inference modeling.
Her research has received recognition and support from the UCLA Initiative to Study Hate and the UCLA Graduate Division. Her work has appeared in peer-reviewed journals, including Journalism, International Journal of Communication, Computational Communication Research, and Scientific Reports.
Nah, S., Luo, J., & Joo, J. (2024). Mapping scholarship on algorithmic bias: Conceptualization, empirical results, and ethical concerns. International Journal of Communication (19328036), 18.
Nah, S., Luo, J., Kim, S., Chen, M., Mitson, R., & Joo, J. (2024). Algorithmic bias or algorithmic reconstruction? A Comparative analysis between AI news and human news. International Journal of Communication, 18.
Luo, J., Nah, S., & Joo, J. (2023). AI bias, news framing, and mixed-methods approach. In Research handbook on artificial intelligence and communication (pp. 145-161). Edward Elgar Publishing.
Akcakir, G., Jiang, Y., Luo, J., & Noh, S. (2023). Validating a mixed-method approach for multilingual news framing analysis: A case study of covid-19. Computational Communication Research, 5(2), 1.
Nah, S., Luo, J., Akçakır, G., Wu, X., Nam, G., & Kim, S. (2025). Revisiting citizen journalism scholarship in the Web Era (1994-2023): Past, present, and prospect. Journalism, 26(5), 944-969.
Lin, X., Kernell, G., Groeling, T., Joo, J., Luo, J., & Steinert-Threlkeld, Z. C. (2022). Mask images on Twitter increase during COVID-19 mandates, especially in Republican counties. Scientific Reports, 12(1), 21331.
