Also known as Biying WU, I'm a PhD candidate from Chinese U of HK supervised by Prof Michael Chan. I’m currently visiting Penn State University at Media Effects Research Lab under Prof Shyam Sundar and on the job market.
My research expertise lies in the interaction among digital journalism, psychology of media technologies, 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. Within this broad umbrella, I have three lines of research. First, I investigated the underlying affective (FoMO, leisure boredom, news fatigue) and news (cross-cutting) mechanism of people’s digital consumption behaviours (curation, avoidance, and addiction). Second, I studied in the context of comparative politics (US,UK,EU,HK), how biased information (i.e., fake news, fitspiration image) prevent people from further political and news consumption (i.e., polarization, selective exposure). Third, I studied how certain digital consumption (i.e., information seeking, multiplatform use) motivate people to self-disclose and enhance their social connectedness and wellbeing.
As my research is driven by theory, I adopt mixed methods including quantitative (computational, multilevel analysis, meta-analysis, surveys, experiments) and qualitative method (interview, focus group, systematic review, content analysis). I also interested at method comparison. My work has been published in peer-reviewed journals, including Digital Journalism, Journalism Mass Communication Quarterly, Mobile Media Communication, New Media Society, Telematics& Informatics. Journal of Media Psychology.
The Chinese University of Hong Kong, Tai Po Rd (Ma Liu Shui), Sha Tin District, Hong Kong
Copyright © 2022 Biying Wu-Ouyang
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.