My research examines consumer behavior through unstructured data — text, images, audio, and video — using machine learning methods to answer questions in quantitative marketing.
Working papers are available upon request. Please email me at qingli.zeng@mail.huji.ac.il.
Conference Presentations
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Matching Influencer Visual Style to Brand Identity
ISMS Marketing Science Conference, June 2026 · slides -
Anchors’ Voice Characteristics and Viewer Engagement in Live Streams
EMAC 2026 · Digital Marketing & Social Media Track · slides -
Image Distinctiveness
ISMS Marketing Science Conference, June 2024 -
Role of Anchor Emotions on Audience Engagement and Revenue: Evidence from Live Streaming Audio and Video Analysis
ISMS Marketing Science Conference, June 2023