Research

Human-AI interaction; multimodal communication; generative AI; computational social science

Selected Publications

Peer-reviewed journal articles

Jiang, Y., & Dale, R. (2025). Mapping the learning curves of deep learning networks. PLOS Computational Biology, 21(2), e1012286.

Jiang, Y., Lai, S., Lei, G., Betke, M., Ishwar, P., & Wijaya, D. (2025). Exploring an Alternative Computational Approach for News Framing Analysis through Community Detection in Framing Element Networks. Journalism & Mass Communication Quarterly. doi.org/10.1177/10776990251328597

Jiang, Y., Dale, R., & Lu, H. (2023). Transformability, Generalizability, but Limited Diffusibility: Comparing Global vs. Task-Specific Language Representations in Deep Neural Networks. Cognitive Systems Research, 101184.

Akcakir, G., Jiang, Y., Luo, J., & Noh, S. (2023). Validating a Mixed-Method Approach for Multilingual News Framing Analysis: A case study of COVID-19. Computational Communication Research, 5(2).

Shea, C. S., Jiang, Y., & Leung, W. L. (2022). David vs. Goliath: transnational grassroots outreach and empirical evidence from the #HongKongProtests Twitter network. Review of Communication, 22(3), 193-212. 10.1080/15358593.2022.2106793

Proceedings

Jiang, Y., Liang, S., & Choi, J. (2025). Synthetic survey data generation and evaluation. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Vol. 1).

Jiang, Y., Dale, R., & Lu, H. (2025). Understanding Human Heuristics in Context-Sensitive Image Captioning. Proceedings of the 47th Annual Meeting of the Cognitive Science Society.

Jiang, Y., & Akçakır, G. (2025). Explicit cooperation shapes human-like multi-agent LLM negotiation. Proceedings of the 1st ICWSM Workshop on Integrating NLP and Psychology to Study Social Interactions (NLPSI).

Miao, G. Q., Jiang, Y., Binnquist, A., Pluta, A., Steen, F. F., Dale, R., & Lieberman, M. D. (2024). A deep neural network approach for integrating neural and behavioral signals: Multimodal investigation with fNIRS hyperscanning and facial expressions, Proceedings of the 46th Annual Meeting of the Cognitive Science Society (pp. 5630–5638).

Jiang, Y., (2024). Emotions in Televised Debates: Proposing a Multimodal Deep Learning Approach for Emotion Detection. Exploring the C-SPAN Archives: Advancing the Research Agenda.

Jiang, Y., Jin, X. & Deng, Q. (2022). Short Video Uprising: How #BlackLivesMatter content on TikTok challenges the protest paradigm. Proceedings of the 16th ICWSM Workshop on Images in Online Political Communication (PhoMemes). doi: 10.36190/2022.42

Lai, S., Jiang, Y., Lei, G., Betke, M., Ishwar, P., & Wijaya, D. (2022). An Unsupervised Approach to Discover Media Frames. LREC Workshop on NLP for Political Sciences.

Chen, K., Shi, Y., Luo, J., Jiang, J., Yadav, S., De Choudhury, M., … & Kumar, N. (2022). How Is Vaping Framed on Online Knowledge Dissemination Platforms? In: Thomson, R., Dancy, C., Pyke, A. (eds) Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2022, vol 13558. Springer, Cham. doi.org/10.1007/978-3-031-17114-7_7

Under review

Jiang, Y., & Dale, R. From Large Language Models to Multimodal Intelligence: Bridging AI and Cognitive Science.

Dale, R., Bainbridge, C., Jiang, Y., Lin, L., Miao, G.Q. & Rosen, Z. Bridging Cognition and Communication: Identifying Opportunities for Cross-Disciplinary Connections Using Scientometric Techniques.

Jiang, Y., Exploring Cross- and Within-Modality Representational Similarities in fMRI-Autoencoders Using PWCCA and RSA.

Jiang, Y. The Persistence of Political Extremism: An Agent-Based Explanation.