Research

Digital Credentials and Multimodal Machine Learning

  • From Views to Value: A Multimodal Analysis of Video Engagement and Learning Outcomes in Online Education
    Yi-Yun Chu, Pedro Ferreira, Mi Zhou, and Michael D. Smith
    Scheduled to present at Statistical Challenges in Electronic Commerce Research 2025

  • Multimodal Video Learning in Online Education: Managing Cognitive Load Patterns using Guided Attention Graphs
    Yi-Yun Chu, Zhe Deng, Wen Wang, and Pedro Ferreira
    Preliminary Result presented at Statistical Challenges in Electronic Commerce Research 2024, Informs Annual Meeting 2024
    Scheduled to present at Statistical Challenges in Electronic Commerce Research 2025

  • Yelp Me If You Can: Rethinking Occupational Licensing through Online Reputation Systems
    Yi-Yun Chu, Uttara M. Ananthakrishnan, and Michael D. Smith
    Presented at Statistical Challenges in Electronic Commerce Research 2024, Yale AIML 2024
    Scheduled to present at Biz AI 2025 (UTD), ISMS Marketing Science Conference 2025

Platform Strategy and Media Economics

  • Data-Driven Auditing of Black-Box AI Systems: An Application to Political Campaigns
    Yi-Yun Chu, Uttara M. Ananthakrishnan, Ramayya Krishnan, and Ananya Sen
    [SSRN] [Code]
    Scheduled to present at Statistical Challenges in Electronic Commerce Research 2025

  • Thematic and Emotional Congruency in TV Advertising: A Multi-Modal Analysis of Engagement and Demand
    Yi-Yun Chu, Liye Ma, Uttara M. Ananthakrishnan, and Michael D. Smith
    Scheduled to present at ISMS Marketing Science Conference 2025

  • Blurred Lines: The Differential Impact of High-Quality and Low-Quality Piracy on Box Office Revenues
    Yi-Yun Chu, Brett Danaher, and Michael D. Smith
    Under 1st round Major Revision at Journal of Management Information Systems
    Presented at Statistical Challenges in Electronic Commerce Research 2023