Publications

Also on Google Scholar.

Working papers and preprints

1. The Murmuration of Scientists

   M. Kim and collaborators

   Working paper

2. The Potential Impact of Disruptive AI Innovations on U.S. Occupations

   M. Kim, M. Constantinides, S. Šćepanović, Y.-Y. Ahn, and D. Quercia

   arXiv:2507.11403

Journal articles

1. Uncovering simultaneous breakthroughs with a robust measure of disruptiveness

   M. Kim, S. Kojaku, and Y.-Y. Ahn

   Science Advances 12, eadx3420 (2026) · blog post

   Coverage: Physics World, Physics Magazine, Phys.org, Yahoo News, Binghamton News, and UVA School of Data Science. Presented at the National Academies of Sciences workshop on Disruptive Innovation, Washington, DC.

Conference proceedings

1. Implicit degree bias in the link prediction task

   R. Aiyappa, X. Wang, M. Kim, O. C. Seckin, Y.-Y. Ahn, and S. Kojaku

   Proceedings of the 42nd International Conference on Machine Learning, PMLR 267, 874–908 (2025)

2. Toxic Synergy Between Hate Speech and Fake News Exposure

   M. Kim, T. Elmas, and F. Menczer

   Workshop Proceedings of the 18th International AAAI Conference on Web and Social Media (CySoc 2024)

3. A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections

   R. Aiyappa, M. R. DeVerna, M. Pote, B. T. Truong, W. Zhao, D. Axelrod, A. Pessianzadeh, Z. Kachwala, M. Kim, O. C. Seckin, Minsuk Kim, S. Gandhi, A. Manikonda, F. Pierri, F. Menczer, and K.-C. Yang

   Proceedings of the International AAAI Conference on Web and Social Media 17, 981–989 (2023)

4. Quantifying the Topic Disparity of Scientific Articles

   M. Kim, J. Yoon, W.-S. Jung, and H. Kim

   Companion Proceedings of the Web Conference 2022, 769–773