Hanjia Lyu

I am a third-year Ph.D. student of the Computer Science Department at the University of Rochester (UR), where I am advised by Prof. Jiebo Luo. Previously, I completed my master’s in Data Science at UR and bachelor’s at Fudan University. I am interested in computational social science. My research goal is to develop and apply innovative machine learning strategies to understand and predict human behavior, ultimately addressing real-world challenges for social good.

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Recent Projects

User and Content Understanding: [ACM-MM 22] [LLM-Rec] [CoCoT]

Political Discourse Analytics: [ICWSM 24] [MEDIATE 23] [BigData 23]

Decoding Well-being with Limited Data: [Intell. Med.] [JMI] [ICDH 23a] [ICDH 23b]

Surveys

GPT-4V(ision) as A Social Media Analysis Engine

Human Behavior in the Time of COVID-19: Learning from Big Data

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What's New


Research

* indicates co-first-authorship.

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  • Human vs. LMMs: Exploring the Discrepancy in Emoji Interpretation and Usage in Digital Communication
    Hanjia Lyu*, Weihong Qi*, Zhongyu Wei, Jiebo Luo
    ICWSM, 2024
    [PDF]

    We examine the behavior of GPT-4V in replicating human-like use of emojis.

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  • Computational Assessment of Hyperpartisanship in News Titles
    Hanjia Lyu*, Jinsheng Pan*, Zichen Wang*, Jiebo Luo
    ICWSM, 2024
    [PDF]

    We conduct a computational analysis to quantify the extent and dynamics of partisanship in news titles. While some aspects are as expected, our study reveals new or nuanced differences between the three media groups.

    Awards



    Teaching


    Teaching Assitant


    Template borrowed from Jon Barron. Thanks!