2023

  • Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong, Meeyoung Cha
    Who Should Pay When Machines Cause Harm? Laypeople’s Expectations of Legal Damages for Machine-Caused Harm
    ACM FAccT 2023
    (Paper)
  • Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha
    Blaming Humans and Machines: What Shapes People’s Reactions to Algorithmic Harm
    ACM CHI 2023
    (Paper)
  • Hyojin Chin, Gabriel Lima, Mingi Shin, Assem Zhunis, Chiyoung Cha, Junghoi Choi, Meeyoung Cha
    User-Chatbot Conversations During the COVID-19 Pandemic: A Study Based on Topic Modeling and Sentiment Analysis
    Journal of Medical Internet Research (JMIR)
    (Paper)

2022

  • Gabriel Lima, Nina Grgić-Hlača, Jin Keun Jeong, Meeyoung Cha
    The Conflict Between Explainable and Accountable Decision-Making Algorithms
    ACM FAccT 2022
    (Paper)
  • Gabriel Lima, Jiyoung Han, Meeyoung Cha
    Others Are to Blame: Whom People Consider Responsible for Online Misinformation
    ACM CSCW 2022
    (Paper)
  • Karandeep Singh*, Gabriel Lima*, Meeyoung Cha, Chiyoung Cha, Juhi Kulshrestha, Yong-Yeol Ahn, Onur Varol
    Misinformation, Believability, and Vaccine Acceptance Over 40 Countries: Takeaways From the Initial Phase of The COVID-19 Infodemic
    PLOS ONE (* denotes co-first authorship)
    (Paper)
  • Saifeldeen Zihiri*, Gabriel Lima*, Jiyoung Han, Meeyoung Cha, Wonjae Lee
    QAnon Shifts Into the Mainstream, Remains a Far-Right Ally
    Heliyon (* denotes co-first authorship)
    (Paper)
  • Assem Zhunis, Gabriel Lima, Hyeonho Song, Jiyoung Han, Meeyoung Cha
    Emotion Bubbles: Emotional Compositions of Online Discourse Before and After the COVID-19 Outbreak
    The Web Conference (WebConf) 2022
    (Paper)
  • Nina Grgić-Hlača, Gabriel Lima, Adrian Weller, Elissa M. Redmiles
    Dimensions of Diversity in Human Perceptions of Algorithmic Fairness
    ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO) 2022
    (Paper)
  • Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha, Jin Keun Jeong
    How XAI May Be Exploited To Create Seemingly Blameworthy AI
    Human-Centered Explainable AI (HCXAI) Workshop at ACM CHI 2022
    (Paper)

2021

  • Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha
    Human Perceptions on Moral Responsibility of AI: A Case Study in AI-Assisted Bail Decision-Making
    ACM CHI 2021
    (Paper)
  • Gabriel Lima, Meeyoung Cha, Chihyung Jeon, Kyung Sin Park
    The Conflict Between People’s Urge to Punish AI and Legal Systems
    Frontiers in Robotics and AI
    (Paper)
  • Gabriel Lima, Assem Zhunis, Lev Manovich, Meeyoung Cha
    On the Social-Relational Moral Standing of AI: An Empirical Study Using AI-Generated Art
    Frontiers in Robotics and AI
    (Paper)
  • Meeyoung Cha, Chiyoung Cha, Karandeep Singh, Gabriel Lima, Yong-Yeol Ahn, Juhi Kulshrestha, Onur Varol
    Prevalence of Misinformation and Factchecks on the COVID-19 Pandemic in 35 Countries: Observational Infodemiology Study
    JMIR Human Factors
    (Paper)

2020

  • Gabriel Lima, Changyeon Kim, Seungho Ryu, Chihyung Jeon, Meeyoung Cha
    Collecting the Public Perception of AI and Robot Rights
    ACM CSCW 2020
    (Paper)
  • Gabriel Lima, Chihyung Jeon, Meeyoung Cha, Kyungsin Park
    Will Punishing Robots Become Imperative in the Future
    ACM CHI Late Breaking Work (LBW) 2020
    (Paper)
  • Gabriel Lima, Meeyoung Cha
    Descriptive AI Ethics: Collecting and Understanding the Public Opinion
    Ethics in Design Workshop at ACM CSCW 2020
    (Paper)
  • Gabriel Lima, Meeyoung Cha
    Responsible AI and Its Stakeholders
    Fair and Responsible AI Workshop at ACM CHI 2020
    (Paper)