Publications

Technological affordances in multiplatform media environment

Li, M., Suk, J., Zhang, Y., Sun, Y., Kwon, H., Lian, R., Wang, Rui., Dong, X., Pevehouse, J., Shah, D. V. Platform Affordances, Discursive Opportunities, and Social Media Activism: A Cross-Platform Analysis of #MeToo on Twitter, Facebook, and Reddit, 2017-2020. New Media & Society. In press.

Mak, M. K., Li, M.*, & Rojas, H. (2024). Social Media and Perceived Political Polarization: Role of Perceived Platform Affordances, Participation in Uncivil Political Discussion, and Perceived Others’ Engagement. Social Media+ Society, 10(1). [∗co-first author] (DOI)

Li, M., Sun, L., Wang, Y., Sun, Y., Kwon, H., Suk, J., … & Shah, D. V. (2023). Computational approaches to online political expression: a framework for research. In Handbook of Digital Politics (pp. 110-167). Edward Elgar Publishing. (PDF)

Suk, J., Sun, Y., Sun, L., Li, M., Farías, C., Kwon, H., … & Shah, D. V. (2024). ‘Think global, act local’: How# MeToo hybridized across borders and platforms for contextual relevance. Information, Communication & Society, 27(3), 498-519. (DOI)

Persuasive and mobilizing effects of multimodal & AI-powered content

Li, G., Li, M.*, Yang, S. The Effects of Expert Didactic TikTok Videos Through Perceived Expertise. (R&R). [∗co-first author]

Li, M.*, Li, G., Yang, S. (forthcoming) Correction by Distraction: How High-Tempo Music Enhances Medical Experts’ Debunking TikTok Videos. Journal of Computer-Mediated Communication. [∗co-first author]

Li, G., Mak, M., Li, M., & Rojas, H. (2024). Partisan news use and support for artificial intelligence development: Examining the mediating roles of trust, perceived benefits, and anxiety. Available at SSRN.

Shah, D. V., Sun, Z., Bucy, E. P., Kim, S. J., Sun, Y., Li, M., & Sethares, W. (2024). Building an ICCN multimodal classifier of aggressive political debate style: Towards a computational understanding of candidate performance over time. Communication Methods and Measures, 18(1), 30-47. (DOI)