Xuanjun Gong

Xuanjun (Jason) Gong is an Assistant Professor in the Department of Communication and Journalism at Texas A&M University. His research focuses on media selection, computational modeling, communication networks, and information diffusion. He teaches courses such as COMM 303: Communication Data Applications and COMM 304: Digital Communication Analytics and Metrics.

His research has been published in journals like Journal of Communication, Human Communication Research, and Computational Communication Research. Key themes include sequential media choice, mood management theory, and the impact of exogenous events on social media discourse.

Notable publications include studies on computational modeling of media selection, drift-diffusion models for valence/arousal preferences, and the role of AR/EEG hyperscanning in media neuroscience. His work bridges communication science with computational and behavioral methodologies.

Xuanjun’s research explores the intersection of media behaviors and technological innovation, with applications in understanding decision-making processes and network dynamics. He advocates for advancing behavioral experimentation methods in digital environments.