Research

Journal

  1. Disinformation Spillover: Uncovering the Ripple Effect of Bot-Assisted Fake Social Engagement on Public Attention
    S. Lee, D. Shin, K. H. Kwon, S. P. Han, and S. K. Lee
    MIS Quarterly, 2024
    DOI
  2. Learning Outside the Classroom During a Pandemic: Evidence from an Artificial Intelligence-Based Education App
    G. Y. Ko, D. Shin, S. Auh, Y. Lee, and S. P. Han
    Management Science, 2023
    DOI
  3. Predicting Firm Market Performance using the Social Media Promoter Score
    S. Chung, D. Shin, and J. Park
    Marketing Letters, 2022
    DOI
  4. Enhancing Social Media Analysis with Visual Data Analytics: A Deep Learning Approach
    D. Shin, S. He, G. M. Lee, A. B. Whinston, S. Cetintas, and K. Lee
    MIS Quarterly, 2020
    DOI

Conference

  1. When Does Text Boost Images: An Empirical Investigation of the Dynamics of Information
    J. Park, D. Cho, and D. Shin
    In Conference on Information Systems and Technology (CIST), 2024
  2. Threats or Opportunities? Enhancing Business Performance in the Era of Generative AI
    V. Lee, J. Lehmann, H. Chae, D. Shin, S. Auh, and S. P. Han
    In Academy of Management (AOM) Proceedings, 2024
    Best Division Paper and Dexter Award Nominee (CTO Division)
    SSRN DOI
  3. Battle of the AIs: The Impact of Generative Language Models on AI Services
    S. J. Lee, D. Shin, and S. P. Han
    In Conference on Information Systems and Technology (CIST), 2023
    Best Student Paper Award Nominee
  4. Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach
    B. Kim, K. Lee, D. Shin, S. P. Han, and S. Ram
    In Workshop on Information Technologies and Systems (WITS), 2022
  5. Achieving the Double Bottom Line with Artificial Intelligence by Addressing Inequity: A Global Comparative Analysis of an Educational Technology Firm
    D. Jeong, D. Shin, S. Auh, and S. P. Han
    In Proceedings of the International Conference on Information Systems (ICIS), 2022
    DOI
  6. Robots Serve Humans? Understanding the Economic and Societal Impacts of AI Robots in the Service Industry
    M. Lee, G. M. Lee, D. Shin, and S. P. Han
    In The 6th INFORMS Workshop on Data Science (DS), 2022
  7. Graph Representation Learning for Reciprocal Recommendation in IT-enabled Social Networks: Social Relations Model Approach
    B. Kim, K. Lee, D. Shin, S. P. Han, and S. Ram
    In The 6th INFORMS Workshop on Data Science (DS), 2022
  8. Impact of COVID-19 Crisis on Social E-Commerce: An Empirical Analysis of E-commerce Consumer Behavior During the Pandemic
    Y. Zhang, Y. Kwark, Y. Wang, and D. Shin
    In Conference on Information Systems and Technology (CIST), 2021
  9. Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?
    M. Lee, G. M. Lee, D. Shin, and S. P. Han
    In Workshop on Information Technologies and Systems (WITS), 2020
  10. Targeting Pre-Roll Ads using Video Analytics
    S. Park, G. M. Lee, D. Shin, and S. P. Han
    In Workshop on Information Technologies and Systems (WITS), 2020
  11. Robots Serve Humans: Does AI Robot Adoption Enhance Operational Efficiency and Customer Experience?
    M. Lee, G. M. Lee, D. Shin, and S. P. Han
    In KrAIS Research Workshop, 2020
  12. Customer Attitude from Social Media, Customer Satisfaction Index, and Firm Value
    S. Chung, D. Shin, A. Animesh, and K. Han
    In Conference on Information Systems and Technology (CIST), 2017
  13. Analyzing Content and Customer Engagement in Social Media with Deep Learning
    D. Shin, S. He, G. M. Lee, and A. B. Whinston
    In Conference on Information Systems and Technology (CIST), 2016
  14. Sharing Behavior in Online Social Media: An Empirical Analysis with Deep Learning
    D. Shin, S. He, G. M. Lee, and A. B. Whinston
    In Proceedings of the 14th Workshop on e-Business (WeB), 2016
    DOI
  15. Message or Messenger: An Empirical Analysis on Tumblr Reblogging Behavior
    D. Shin, S. He, G. M. Lee, and A. B. Whinston
    In Workshop on Information Technologies and Systems (WITS), 2015
  16. Tumblr Blog Recommendation with Boosted Inductive Matrix Completion
    D. Shin, S. Cetintas, K. Lee, and I. S. Dhillon
    In Proceedings of the 24st ACM International Conference on Information and Knowledge Management (CIKM), 2015
    PDF DOI
  17. Multi-scale Spectral Decomposition of Massive Graphs
    S. Si*, D. Shin*, I. S. Dhillon, and B. N. Parlett
    In Proceedings of the 27th Conference on Neural Information Processing Systems (NeurIPS), 2014
    PDF DOI
  18. Recommending Tumblr Blogs to Follow with Inductive Matrix Completion
    D. Shin, S. Cetintas, and K. Lee
    In Poster Proceedings of the 8th ACM Conference on Recommender Systems (RecSys), 2014
    PDF
  19. Which App Will You Use Next? Collaborative Filtering with Interactional Context
    N. Natarajan*, D. Shin*, and I. S. Dhillon
    In Proceedings of the 7th ACM Conference on Recommender Systems (RecSys), 2013
    PDF DOI
  20. Multi-scale Link Prediction
    D. Shin, S. Si, and I. S. Dhillon
    In Proceedings of the 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012
    PDF DOI