Jaehong Kim
Moral Psychology · AI/NLP
I am a Ph.D. candidate at KAIST (Korea Advanced Institute of Science and Technology), advised by sociologist Wonjae Lee. I completed two research internships at the Max Planck Institute for Security and Privacy, supervised by computational social scientist Meeyoung Cha, with whom I continue to collaborate. My research is supported by the Hyundai Motor Chung Mong-Koo Foundation.
News
- Apr 2026 Paper accepted to ACL 2026
- Feb 2026 🇰🇷 Returned to KAIST after internship at MPI-SP
- Jan 2026 Paper accepted to WWW 2026
- Sep 2025 Paper accepted to EMNLP 2025
- Sep 2025 🇩🇪 Started internship at MPI-SP
- Nov 2024 🇰🇷 Returned to KAIST after internship at MPI-SP
- Sep 2024 🇩🇪 Started internship at MPI-SP
- Apr 2024 Paper accepted to ACL 2024
Research
My research examines how moral emotion shapes behavior in the attention economy — how platforms amplify morally charged content, and how exposure to it changes what people do online and offline.
Measurement. I build computational frameworks for detecting moral emotions from text and video, using transformer-based models and multimodal architectures. Applying these methods reveals a consistent pattern: moral outrage — expressions that blame and condemn others — most strongly predicts committed user participation, outpacing other moral and emotional appeals. I am also developing explainable AI techniques to make these models interpretable.
Behavioral Effects. I trace the downstream reach of this finding. Does the outrage effect extend to offline political behavior? Does it hold when manufactured by malicious actors? And do LLMs that deploy moral outrage become more politically persuasive?
Publications
-
Exploring LLM Behavior in Relational Moral Dilemmas: Moral Rightness, Predicted Human Behavior, and Model Decisions
Paper coming soon -
Moral Outrage Shapes Commitments Beyond Attention: Multimodal Moral Emotions on YouTube in Korea and the US
-
Parallel Communities Across the Surface Web and the Dark Web
-
How Do Moral Emotions Shape Political Participation? A Cross-Cultural Analysis of Online Petitions Using Language Models
Ongoing Work
-
How troll users in information operations exploit moral outrageUnder Review
-
Effects of online moral emotion on offline protest behaviorOngoing
-
Explainable moral emotion classifierOngoing
-
Moral outrage activation probing in LLMsOngoing
Education
-
Ph.D. Candidate, Culture TechnologyKAIST · Social Computing LabExpected Aug 2027
-
M.S., Culture TechnologyKAIST · Social Computing LabBridging social psychology theory and AI methodology2023
-
B.A., Communication & Psychology · Minor in ICT Convergence · cum laudeHandong Global University · Data Analysis LabI came to believe learning is meant to be shared.2021