Publications

Citations

270+

Publications

19 published & ongoing

Collaborators

15+ across disciplines

Peer Reviewed

35+ manuscripts

The most complete and up-to-date publication list is available on my Google Scholar profile.

Working in Progress

Wang, Q., et al. (2026) Wisdom of the LLM Crowd: A Large Scale Benchmark of Multi-Label U.S. Election-Related Harmful Social Media Content. arXiv:2602.11962v2
Wang, Q., et al. (2026) AI4OSN: Usability Study of a Human-Centered Agentic AI Platform for Online Social Network Research.
He, O., Liu, A., Wang, Q., & Mauriello, M. (2026). What’s in an Outfit? Human and LLM Takes on Color, Clothing, and Occupation.
Wang, Q., et al. (2026) “The Explanation Makes Sense”: An Empirical Study of LLM News Classification and Its Influence on Human Judgment. TSC (In Review). arXiv:2602.19690
Ostadrahimi, S., Faghri, S., Wang, Q., et al. (2026) Revisiting Classical Machine Learning on X: Detecting User Stance Toward Trump and Biden in the 2024 U.S. Election. SNAM (In Review). DOI: 10.21203/rs.3.rs-9735442/v1
Tilekar, O., Mauriello, M., Khatiwada, P., Wang, Q., Goel, R., & Bagozzi, B. (2026). Beyond Fact-Checking: A Hybrid LLM-Classifier Pipeline for Detecting and Interpreting Coordinated Manipulative Media Campaigns. In Proceedings of the 60th Hawaii International Conference on System Sciences (In Review)

Wang, Q., Erqsous, M., Khatiwada, P., Karwankar, A., Alhassan, F. M., Chandrasekaran, A., … Mauriello, M. L. (2025). Leveraging Large Language Models for Review Classification and Rating Estimation of Mental Health Applications. In Proceedings of the International AAAI Conference on Web and Social Media (ICWSM) (Vol. 19, pp. 2017–2029). DOI: 10.1609/icwsm.v19i1.35916
Barmaki, R. L., Kim, K., Guo, Z., Wang, Q., Yu, K., Pearlman, R., & Navab, N. (2024) A Large-Scale Feasibility and Ethnography Study of Screen-based AR and 3D Visualization Tools for Anatomy Education: Exploring Gender Perspectives in Learning Experience. IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AiXRVR) (pp. 205–214). DOI: 10.1109/AiXRVR59861.2024.00033
Baron, L., Wang, Q., Segear, S., Cohn, B. A., Kim, K., & Barmaki, R. (2021). Enjoyable Physical Therapy Experience with Interactive Drawing Games in Immersive Virtual Reality. In Proceedings of the 2021 ACM Symposium on Spatial User Interaction (SUI) (pp. 1–8). DOI: 10.1145/3485279.3485285

Wang, Q., Salloum, A., Vieira, C. C., Bagozzi, B. E., Kivelä, M., Barner, K. E., & Maureillo, M. L. (2026). Echoes in the Sky: Computational Thematic Analysis of Online Public Discourse on Bluesky Across Trump’s Reelection. Advances in Social Networks Analysis and Mining. Lecture Notes in Social Networks. Springer. (To Appear at ASONAM) arXiv
Wang, Q., Erqsous, M., Barner, K. E., & Mauriello, M. L. (2025) LATA: A Pilot Study on LLM-Assisted Thematic Analysis of Online Social Network Data Generation Experiences. Proceedings of the ACM on Human-Computer Interaction, 9(2), 1–28. Presented at CSCW. DOI: 10.1145/3711022
Kiafar, B., Kullu, P., Lokesh, R., Chaudhari, A., Wang, Q., Sharmin, S., … & Barmaki, R. L. (2025). Feasibility of Immersive Virtual Reality and Customized Robotics with Wearable Sensors for Upper Extremity Training. Proceedings of Machine Learning Research, 287, 1–14. Presented at CHIL. PMLR
Wang, Q., Zhang, Q., Sun, V., Boulay, C., Kim, K., & Barmaki, R. L. (2023) A Scoping Review of the Use of Lab Streaming Layer Framework in Virtual and Augmented Reality Research. Springer Virtual Reality (VIRE). DOI: 10.1007/s10055-023-00799-8
Kejriwal, M., Wang, Q., Li, H., & Wang, L. (2021). An Empirical Study of Emoji Usage on Twitter in Linguistic and National Contexts. Online Social Networks and Media (OSNEM), 24, 100149. DOI: 10.1016/j.osnem.2021.100149

Albwil, A., Wang, Q., Zolek, N., Mauriello, M. L., & Barner, K. (2025) Reliable or Risky? Assessing Diffusion Models for Biomedical Data Generation. In The Second Workshop on GenAI for Health: Potential, Trust, and Policy Compliance. GenAI for Health at NeurIPS. OpenReview
Khatiwada, P., Wang, Q., M., Barner, K. E., & Mauriello, M. L. (2025). Towards a Multi-modal Multi-Label Election-Context Repository for Classifying Misinformation. Proceedings of the ICWSM Workshops - Misinformation Detection in the Era of LLMs (MisD). DOI: 10.36190/2025.26

Wang, Q., et al. (2026) Wisdom of the LLM Crowd: A Large Scale Benchmark of Multi-Label U.S. Election-Related Harmful Social Media Content. 12th International Conference on Computational Social Science (IC2S2) Paper

Tran, D. D., Wang, Q., & Mauriello, M. L. (2026, March). WIP: Training Prompt Engineering Skills in AI-Assisted Programmatic Labeling Tasks. In 2026 Spring Middle Atlantic Section Conference. DOI: 10.18260/1-2–58486
Wang, Q., Beardsley, V. J., Zhang, Q., Kim, K., & Barmaki, R. (2021). An LSL-middleware prototype for VR/AR data collection. In Proceedings of the 2021 ACM Symposium on Spatial User Interaction (SUI) (pp. 1–2). DOI: 10.1145/3485279.3485331