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.
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
Negative Peer Feedback and User Content Generation: Evidence from a Restaurant Review Platform
Production and Operation ManagementContent Growth and Attention Contagion in Information Networks: Addressing Information Poverty on Wikipedia
Information Systems ResearchTeaching
41037
DATA MINING FOR MARKETING ANALYTICS