Shengchun Huang
- Doctoral Candidate
Shengchun Huang conducts studies on user behaviors on algorithm-driven media platforms. She looks into how the algorithm-driven media environment influences news behaviors and democracy.
Shengchun Huang is a doctoral student at the Annenberg School for Communication at the University of Pennsylvania. She is interested in digital news consumption and human-algorithm/AI interaction studies. Specifically, her work examines the algorithmic effects on news consumption and people’s perceptions of algorithm-related media use.
Before joining Annenberg, she received her B.A. degree in communication from Renmin University of China and M.A. degree in journalism and communications from Tsinghua University.
Education
- B.A., Renmin University of China, 2016
- M.A., Tsinghua University, 2019
Selected Publications
Balancing Quantity and Quality: How X/Twitter’s Algorithm Influences Our Consumption of News
A new paper by Penn researchers, including Annenberg doctoral candidate Shengchun Huang, explores the dissemination of news on X/Twitter.
