Selected Refereed Journal Publications and Conference Proceedings
Lee, K. & Ram, S. (Forthcoming). Intent-Driven Machine Learning for Fake News Detection: A Referential Domain Adaptation Approach. Production and Operations Management (POM).
Lee, K. & Ram, S. (2025). Leveraging Large Language Models for Hate Speech Detection: A Multi-Agent, Information-Theoretic Prompt Engineering Framework for Enhancing Contextual Understanding. Journal of Management Information Systems (JMIS), 42(4), 1055-1086.
Lee, K. & Ram, S. (2024). Explainable Deep Learning for False Information Identification: An Argumentation Theory Based Approach. Information Systems Research (ISR), 35(2), 890-907.
Park, H., Shim, H., & Lee, K. (December, 2023). Uncovering the Root of Hate Speech: A Dataset for Identifying Hate Instigating Speech. In Findings of the Association for Computational Linguistics: EMNLP 2023.
Other Refereed Journal Publications
Park, J., Kim, G., Kim, Y., Lee, K., & Lee, D. (Forthcoming). The Heterogeneous Impact of Social Media Sentiment on Cryptocurrency Valuation. Internation Journal of Electronic Commerce.
Suh, J., Lee, K., & Lee, J. (2025). Programming education with ChatGPT: outcomes for beginners and intermediate students. Education and Information Technologies, 1-26.
Kim, N., Lee, K., Lee, J., & Suh, J. (2024). The motivation to work in an online platform economy money-view or self-view? Current Psychology, 43(8), 7308-7323.
Lee, K., Park, J., & Suh, J. (2018). Investigating knowledge flows between information systems and other disciplines: seeking greater research opportunities. ACM SIGMIS Database: The Data Base for Advances in Information Systems, 49(2), 14-34.
Lee, K., Park, J., Kim, I., & Choi, Y. (2018). Predicting movie success with machine learning techniques: ways to improve accuracy. Information Systems Frontier, 20(3), 577-588.
Park, J., Lee, K., Suh, J., & Rahman A. (2018). The success case of Dorsia in the online dating market, Journal of Society for e-Business Studies, 23(1), 65-88.
Other Refereed Conference Proceedings
Kim, D., Lee, K., Suh, J., & Park, J. (2026). Explainable AI in Content Moderation: Global, Local, and Narrative Approaches to Trust and Plausibility. In Proceedings of the 59th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences.
Shim, H., Park, H., Lee, K. (2025, July). LLM-Driven Data Augmentation with Contrastive Learning to Address Mobile Phishing Attacks: A Persuasion-Theory Approach. In 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS). IEEE.
Kim, J., Kwon, H. E., Lee, D., Lee, H., & Lee, K. (2025). From Human Cashiers to Machine: An Empirical Analysis of Self-Service Technologies in the Retail Stores. In Proceedings of the 58th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences.
Lee, K., & Ram, S. (May, 2024). Deep Learning for Hate Speech Detection: A Personality-based Approach. In Companion Proceedings of the ACM Web Conference 2024 (WWW'24 Companion), May 13-17, 2024, Singapore, Singapore.
Shim, H., Park, H., Lee, K., Park, J., Kang, S. (May, 2024). Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach. In Companion Proceedings of the ACM Web Conference 2024 (WWW'24 Companion), May 13-17, 2024, Singapore, Singapore.
Lee, K., Suh, J., & Park, J. Is Honesty the Best Policy? Impact of (Im)plausible AI Transparency on Human Adoption of AI for Fake News Detection, The 32nd Workshop on Information Technologies and Systems (WITS) 2022, Copenhagen, Denmark (Prabuddha De Best Paper Award Winner).
Kim, B., Lee, K., Shin, D., Han, S., & Ram, S. (December, 2022) Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach, The 32nd Workshop on Information Technologies and Systems (WITS) 2022, Copenhagen, Denmark.
Kim, B., Lee, K., Shin, D., Han, S., & Ram, S. (October, 2022) Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach, INFORMS 6th Workshop on Data Science 2022, Indianapolis, USA.
Lee, K., & Ram, S. (December, 2021) Intention-based Deep Learning Approach for Detecting Online Fake News, In Proceedings of International Conference on Information Systems (ICIS) 2021, Austin, USA (Best Completed Research Paper Winner).
Kim, B., Lee, K., & Ram, S. (December 2021) A theory-driven graph representation learning method for improving environmental impact assessment, The 31st Workshop on Information Technologies and Systems (WITS) 2021, Austin, USA.
Lee, K., & Ram, S. (December, 2020) PERSONA: Personality-based deep learning for detecting hate speech, In Proceedings of International Conference on Information Systems (ICIS) 2020, India (Best Student Paper Winner).
Lee, K., & Ram, S. (December, 2017) To be followed or not to be followed: identifying target audience for marketing on social media, The 27th Workshop on Information Technologies and Systems (WITS) 2017, Seoul, Korea.
Lee, K., & Ram, S. (December, 2017) Reconsidering the measurement of tie strength in online social networks, In Proceedings of International Conference on Information Systems (ICIS) 2017, Seoul, Korea.