Biography
I am Xuanjun (Jason) Gong. I am an assistant professor at Department of Communication and Journalism, Texas A&M University. My research focus is on media selection, computational modeling, communication networks, and information diffusion.
My research has been published in outlets such as Journal of Communication, Human Communication Research, Computational Communication Research, American Behavioral Scientist, and Journal of Medical Internet Research.
Teaching
- COMM 303: Communication Data Applications
- COMM 304: Digital Communication Analytics and Metrics
Research Interests
- Communication & Media Science
- Media Behaviors
- Computational Social Science
Selected Publications
- Gong, X., Huskey, R., (2023). Consider the time dimension: Theorizing and formalizing sequential media selection. Human Communication Research. doi: https://doi.org/10.1093/hcr/hqad051
- Gong, X., Huskey, R. (2023). Media selection is highly predictable, in principle. Computational Communication Research. doi: https://doi.org/10.5117/CCR2023.1.15.GONG
- Gong, X., Huskey, R., Xue, H., Shen, C., & Frey, S. (2023). Broadcast information diffusion processes on social media networks: exogenous events lead to more integrated public discourse. Journal of Communication, 73 (3), 247–259. doi: https://doi.org/10.1093/joc/jqad014
- Gong, X., Huskey, R., Eden, A., & Ulusoy, E. (2023). Computationally modeling mood management theory: a drift-diffusion model of people’s preferential choice for valence and arousal in media. Journal of Communication, jqad020. doi: https://doi.org/10.1093/joc/jqad020