Shan Xu

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Shan Xu is a researcher and teacher focused on understanding how people interact with technology. She is an Assistant Professor at Texas Tech University's College of Media and Communication. Her research primarily explores how individuals engage with artificial intelligence (AI), social media, and media multitasking. Her aim is to enhance human health, well-being, and productivity through a deeper understanding of these interactions.

Her research adopts a dynamic perspective to examine the reciprocal causality between media use and media effects, and how media effects unfold over time. To test these dynamic relationships, her research utilizes longitudinal studies, ecological momentary assessment, and emphasizes time series analysis, dynamic panel analysis, and machine learning algorithms.

She has first-authored publications in established communication and psychology journals, including Communication Research, Journal of Computer-Mediated Communication, Human Communication Research, Health Communication, New Media and Society, and Current Opinion in Psychology. Her work has been supported by the National Science Foundation, National Humanities Center & Google, and Waterhouse Foundation Institute.

Before her current role at Texas Tech, Shan earned her Ph.D. from The Ohio State University's School of Communication in 2019.