Xin “Frida” Qi Humphreville studies journalism routines from the perspective of media sociology. She is especially interested in temporality in journalism and how artificial intelligence sociologically and ontologically influences the news production process. Capable of conducting both qualitative and quantitative research, Frida mainly uses qualitative research methods such as ethnography, field observation, semi-structured interviews, and textual analysis.

Frida taught a writing-intensive journalism class, J1300 Fundamentals of Written Journalism and Strategic Communication, as the Instructor of Record. In the coming academic year of 2025-2026, she will be the teaching assistant and instructor of a multimedia journalism class, J1400 Applied Projects for Journalism and Strategic Communication.

Frida worked as a reporter in the U.S. and China with various types of reporting experience including investigative, business, data, city government, breaking news, international, and magazine reporting. Frida also has work experience in social media marketing and was a teacher in China, Mexico and Tanzania.

Frida earned her master’s degree in journalism from the University of Missouri and bachelor’s degree from Jinan University in Guangzhou, China.

Frida likes photography, traveling, cooking, writing songs, writing children’s books, and taking care of her two kittens.

Conference papers

Qi, X. F. (2024). Explicating algorithmic bias in journalism. Paper presented at the 49th Annual Conference of the Association for Education in Journalism and Mass Communication Southeast Colloquium, Lexington, KY.

Qi, X. F. (2025). Understanding the deadline routine in journalism: A rapid newsroom ethnography during the 2024 Presidential Election. Paper accepted for presentation at the 108th Annual Conference of the Association for Education in Journalism and Mass Communication, San Francisco, CA.

Qi, X. F. (2025). ChatGPT says you’re doing it wrong: Using bounded rationality to revise marketplace theory in the AI era. Paper accepted for presentation at the 108th Annual Conference of the Association for Education in Journalism and Mass Communication, San Francisco, CA.

Qi, X. F. (2025). Seeing journalism through ChatGPT: Textual analysis of ChatGPT’s answers to top-searched Quora questions on journalism. Paper accepted for presentation at the 108th Annual Conference of the Association for Education in Journalism and Mass Communication, San Francisco, CA.

Dahal, C. & Qi, X. F. (2025). Modeling the influence of credibility and media literacy on the prevalence of information disorder. Paper accepted for presentation at the 108th Annual Conference of the Association for Education in Journalism and Mass Communication, San Francisco, CA.

Rose, K., Qi, X. F., Jenkins, J. & Zhang, Z. (2025) “All of the water is connected in some way:” Exploring personal connections in the Mississippi River Basin. Paper accepted for presentation at the 2025 Conference of the Network for the Public Communication of Science and Technology, Aberdeen, Scotland, UK.

Qi, X. F. (2024). Constructing the collective memory as another normative role of journalism in the age of AI. Paper presented at the Preconference of the 74th Annual Conference of International Communication Association, Singapore.

Qi, X. F., Mathews, N., Khanom, A. & Holton, A. (2024). Boomeranging back to the newsroom: Exploring journalists’ returns to the industry following a hiatus. Paper presented at the 2024 Conference of the Local Journalism Researchers Workshop, Chapel Hill, NC.

Qi, X. F. (2024). ChatGPT says you’re doing it wrong: Using bounded rationality to revise marketplace theory in the AI era. Paper presented at the 49th Annual Conference of the Association for Education in Journalism and Mass Communication Southeast Colloquium, Lexington, KY.