Boydstun’s research examines the interaction between media and politics, focusing on how different media portrayals of the same policy issue can prompt citizens and policymakers to respond to that issue in different ways. She uses lab experiments, large-scale media studies, and manual and computational text analysis to study how issues make the news; how issues are “framed” in the news; and how media coverage can shape public opinion and public policy.
Boydstun has authored two books and many journal articles, as well as articles for the popular press, such as The Washington Post and the Columbia Journalism Review.
She holds a Ph.D. from The Pennsylvania State University and a B.A. from St. John’s College (“the Great Books school”). Boydstun is an Associate Editor of Public Opinion Quarterly, a founding board member of the Women Also Know Stuff initiative, and serves on the editorial boards for Political Communication, Journal of Public Policy, Policy Studies Journal, and the Text as Data Association. Boydstun has taught a number of data science courses at both the undergraduate and graduate levels, and has won both college-level and university-level teaching awards.
You can visit her university webpage here.
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