Kai Zhu

foto Kai Zhu

My research broadly seeks to understand how digital technologies change market, media, politics, and society. I am particular interested in the impact of digital transformation in cultural markets, e.g. news, books, movies, music. In my research, I leverage various computational tools, such as machine learning, natural language processing, causal inference, and network analysis, to analyze large-scale structured and unstructured data in real-world to learn about human behavior and system dynamics.

Assistant Professor
Download the cv (121.97 KB)
Research interests

Computational Social Science, Text as Data, Social Networks, Digital Platforms

Working papers
The AI Democratization Paradox: Evidence from Decentralized Knowledge Platforms
Quantifying Consumer-Product Fit: A Representation Learning Approach
Customer Journey with AI Search
Selected Publications
Teaching