Sandra González-Bailón of the University of Pennsylvania
“Exposure to News in the Digital Age”
Online platforms are becoming the main source of news for the majority of the population, and yet there is still a lack of comparative evidence analyzing patterns of news consumption across political contexts. In this talk, I will discuss an ongoing project that employs network science tools to uncover aggregate patterns of news consumption and determine whether there is evidence of fragmentation and self-selection across national contexts and media channels. The core of the approach consists on analyzing exposure networks where the nodes are news sources and the edges map the number of users co-exposed to those sources. The analysis of these networks allows us to build standardized indicators of exposure to news that we can then compare across countries, demographic groups, and digital platforms – thus offering evidence to test ongoing claims of the effects of digital technologies on access to political information.
About Dr. González-Bailón
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), where she is now a Research Associate. 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. She leads the research group DiMeNet – acronym for Digital Media, Networks, and Political Communication.
Her book Decoding the Social World (MIT Press, December 2017) explains how data science and the analysis of networks help us solve the puzzle of unintended consequences – or why our intentional actions often trigger outcomes that we did not intend or even envision. The key to the puzzle, the book argues, is to integrate different levels of analysis in our theories of social change, something we can do now because of new data and computational tools.
Her most recent project, “Digital News and the Consumption of Information Online” (2017-2020) is funded by the National Science Foundation.