Speaker: Hannah Li, Assistant Professor, Columbia Business School
Presentation title: The Interplay of User Behavior and Algorithm Design in Digital Ecosystems
Abstract: The interactions between user behavior and algorithms employed on online platforms present challenges that conventional data science tools like A/B testing and recommender systems often overlook. For example, recommender systems can create feedback loops that affect both user and content creator retention. Moreover, users may strategically engage with or avoid certain content to shape their future recommendations. This talk highlights several ways these dynamics can influence platform learning and outcomes and suggests modifications to mitigate these challenges.
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This talk is co-sponsored by USF's Master's in Applied Economics and the Stanford Causal Science Center. For additional information and abstracts from past talks, please click here
