Research

You can also find my papers listed on Google Scholar.

AI Agents & Algorithmic Systems

  1. preprint
    Data-Driven Auditing of Black-Box AI Systems: An Application to Political Campaigns
    Yi-Yun Chu, Uttara M. Ananthakrishnan†, Ramayya Krishnan†, and Ananya Sen† , 2025
    Presented at SCECR 2025.
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  2. spotlight
    Do Agents Repair When Challenged – or Just Reply? Challenge, Repair, and Public Correction in a Deployed Agent Forum
    Luyang Zhang*, Yi-Yun Chu*, Jialu Wang, Beibei Li, and Ramayya Krishnan , 2026
    Accepted as a spotlight paper (top 6%) at the REALM Workshop, EMNLP 2026.
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  3. preprint
    Post-Training Recipe, More Than Model Family, Shapes Multi-Agent LLM Conversational Behavior
    Luyang Zhang, Jialu Wang, Fei Xue, and Yi-Yun Chu , 2026
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  4. preprint
    Toward Agentic Governance: What Shapes LLM-Agent Intervention in Public Forums?
    Luyang Zhang, Yi-Yun Chu, and Ramayya Krishnan , 2026
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AI & Online Learning

  1. working paper
    The Dynamic Aspects of Cognitive Load in Educational Videos
    Yi-Yun Chu, Pedro Ferreira, Michael D. Smith, Mathieu Bonzon, and Matt Gibson , 2025
    Presented at SCECR 2025, Platform Strategy 2025, CIST 2025, INFORMS Annual Meeting 2025, WISE 2025, and the Conference on AI/ML and Business Analytics 2025.
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  2. working paper
    Multimodal Measurement of Cognitive Load in Instructional Videos
    Yi-Yun Chu, Pedro Ferreira, Zhou Mi, and Michael D. Smith , 2026
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  3. working paper
    Information Cues in Online Education: Synthesizing Information Foraging Navigation and Cognitive Load Processing
    Yi-Yun Chu, Zhe Deng, Wen Wang, and Pedro Ferreira , 2024
    Presented at SCECR 2024, INFORMS Annual Meeting 2024, and SCECR 2025.

Information, Trust & Consumer Decision-Making

  1. preprint
    Thematic and Emotional Congruency in TV Advertising: A Multimodal Analysis of Engagement and Demand
    Yi-Yun Chu, Liye Ma, and Michael D. Smith , 2025
    Presented at ISMS Marketing Science Conference 2025.
  2. preprint
    Evaluating Occupational Licensing through Online Consumer Reviews: Evidence from the Personal Care Services
    Yi-Yun Chu, Uttara M. Ananthakrishnan, and Michael D. Smith , 2024
    Presented at SCECR 2024, Yale AIML 2024, BizAI 2025 (UTD), and ISMS Marketing Science Conference 2025.
    🏆 George Duncan Award for Excellence in Doctoral Studies, CMU (2025). Flash Session Winner Award, ISMS Marketing Science Conference (2025).
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  3. preprint
    The Incremental Effect of High-Quality Piracy Sources on Theatrical Revenues
    Yi-Yun Chu, Brett Danaher, and Michael D. Smith , 2023
    Presented at SCECR 2023 and WISE 2025.