Known as Biying Wu-Ouyang, I’m currently a tenure-track assistant professor at Education University of Hong Kong under the strategic area of new media and social media. I'm the Programme Leader of Master of Arts in Digital Marketing and E-commerce, Associate Programme Leader of Master of Arts in New Media and Social Media, Co-ordinator of Centre of New Media and Social Media, Assistant Co-Director of Global centre for Women, Development and Education. I am also the Chair of Teaching Committee (2025-2027) in Mass Communication Society division, AEJMC.
My research expertise lies in the interaction among algorithm and AI research, new media technologies, media psychology, digital journalism, and comparative politics. I’m particularly interested at the underlying mechanism (affective, social, and political) of people’s digital consumptions (mobile media, social media, AI) and how these media use impact affective, social, and political environments.
My work has been published in peer-reviewed journals, including Communication theory, New Media Society, Digital Journalism, Journalism Mass Communication Quarterly, Mobile Media Communication, New Media Society, Telematics& Informatics. Journal of Media Psychology
I was awarded several Top paper awards from ICA and AEJMC. in 2025, I have received Best Dissertation award from MCS AEJMC and Top faculty paper award from NOND, and JMCQ Outstanding Article Award of 2024 (runner-up).
I acquired my PhD&MPhil (Comm) at Chinese University of Hong Kong and was a visiting scholar at Penn State university.
Wu-Ouyang, 2026
I study the dynamics between human and algorithm with a particular emphasis on personal curation, which I conceptualize as a communicative act that can impact an informed citizen. In a word, people consume what they curate.
I theorize personal curation into five dimensions based on platform features (expansiveness), content (heterogeneity), subjects (news attentiveness), sources (belongingness), and the number of platforms involved (multiplatform connectedness). This line of research aims to establish a normative framework that outlines the anticipated impact of distinct personal curation dimensions on democratic outcomes and were published in Communication theory, New Media Society, Digital Journalism, Social Media Society and won best dissertation award at AEJMC, and top paper awards in ICA and AEJMC conferences.
This study investigates how people employ different news consumption strategies in the personalized but overloaded information environment. Specifically, we examine the psychological mechanisms of news curation and news avoidance through fear of missing out (FoMO) and news overload. An autoregressive analysis of two-wave panel data (N = 834) shows that news use indirectly affects both news consumption strategies first through FoMO and then through news overload on Facebook. More importantly, the indirect effect occurs only for those who engage in cross-cutting discussion at high and middle but not low levels.
This study examines how perceived news feed performance (i.e., perceived news feed quality and valence) shapes consumptive news feed curation. Results from a survey in the United States (N = 1,525) show that both perceived quality and valence of news feed were associated with consumptive news feed curation. However, an asymmetric pattern emerged in that perceived news feed performance was only related to boosting behavior but not limiting behavior.
This research argues that personal curation can influence curated flows by signaling algorithms of user preferences. Furthermore, I examined the affective mechanism of news curation. The findings (N = 1198), reveal a noteworthy association: individuals experiencing FoMO are susceptible to news fatigue, leading them to prioritize being protected (news-limiting curation) than informed (news-boosting curation). This might contribute to a narrower news repertoire and influence the cultivation of informed citizens.
The Education University of Hong Kong, Tai Po Rd (Ma Liu Shui), Sha Tin District, Hong Kong
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