
Arjun Mukherjee, Ph.D.
- Ph.D. in Computer Science University of Illinois, Chicago
Dr. Mukherjee received his Ph.D. in 2014. His research spans data and web mining, natural language processing, large language models, computational social science, sentiment analysis, and opinion spam detection. His work has been published in leading venues such as ACL, EMNLP, KDD, WWW, ICWSM, and ICDM, and he presented a tutorial on deceptive opinion spam at ACL 2015. He has served on research grant panels and as a program committee member for numerous journals and conferences. His research has been supported by the U.S. National Science Foundation (NSF) and the U.S. Department of Defense (DoD).
- Navid Ayoobi, Sadat Shahriar, and Arjun Mukherjee. 2024. Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News. In Proceedings of the 35th ACM Conference on Hypertext and Social Media (HT '24). Association for Computing Machinery, New York, NY, USA, 1–11.
- Ayoobi, Navid, Sadat Shahriar, and Arjun Mukherjee. "The looming threat of fake and llm-generated linkedin profiles: Challenges and opportunities for detection and prevention." Proceedings of the 34th ACM conference on hypertext and social media. 2023.
- Shahriar, Sadat, Arjun Mukherjee, and Omprakash Gnawali. "A Domain-Independent Holistic Approach to Deception Detection." Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021). 2021.
- Yang, Fan, Eduard Dragut, and Arjun Mukherjee. "Predicting personal opinion on future events with fingerprints." Proceedings of the 28th International Conference on Computational Linguistics. 2020.