Sandra González-Bailón, Ph.D.
- Associate Professor of Communication
Sandra González-Bailón's research areas include network science, data mining, computational tools, and political communication. Her applied research focuses on the analysis of social media, political protests, mobilization dynamics, information diffusion, and news consumption.
Sandra González-Bailón is an Associate Professor at the Annenberg School for Communication, and affiliated faculty at the Warren Center for Network and Data Sciences. Prior to joining Penn, she was a Research Fellow at the Oxford Internet Institute (2008-2013). She completed her doctoral degree in Nuffield College (University of Oxford) and her undergraduate studies at the University of Barcelona.
Her research lies at the intersection of network science, data mining, computational tools, and political communication. Her applied research looks at how online networks shape exposure to information, with implications for how we think about political engagement, mobilization dynamics, information diffusion, and news consumption. A sample of her recent research can be found here.
She is the author of the book Decoding the Social World (MIT Press, 2017) and co-editor of The Oxford Handbook of Networked Communication (OUP, 2020). She serves as Associate Editor for the journals Social Networks, EPJ Data Science, and The International Journal of Press/Politics, and she is a member of the Board of Reviewing Editors for Science. She leads the research group DiMeNet (/daɪmnet/) — acronym for Digital Media, Networks, and Political Communication.
Her most recent projects include “Digital News and the Consumption of Information Online” (2017-2020, NSF award #1729412) and “Behavioral Effects of Exposure to Political Content in Social Media” (2020-2023, NSF award #2017655).
- M.S., University of Oxford, 2004
- Ph.D., University of Oxford, 2007
- COMM 213 Social Media and Social Life
- COMM 367 Communication in the Networked Age
- COMM 407 Understanding Social Networks
- COMM 594 Introduction to Networks
- COMM 684 Data Visualization for Research
- COMM 801 Filter Bubbles, Long Tails, and Information Cascades: Research Methods for a Fragmented Media Environment
- COMM 812 Digital News and the Consumption of Information Online
- COMM 848 Decoding the Social World
- COMM 851 Social Media and Political Information
- COMM 867 Media and Social Movements