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Amber E. Boydstun

Education

  • Ph.D., Political Science, The Pennsylvania State University, 2008
  • M.A., Political Science, The Pennsylvania State University, 2004
  • B.A., Philosophy/Mathematics, St. John’s College, 1999

About

Amber E. Boydstun is an associate professor in political science with expertise in American institutions, public policy, political communication and political psychology. Her research bridges across disciplines, with much of her work co-authored with scholars from psychology, journalism, and computer science.  She works with scholars across the globe as a member of the Comparative Agendas Project, a collaborative enterprise by political science and policy scholars to measure international government outputs. She serves on the editorial boards for the journal Political Communication and for the Women Also Know Stuff initiative. Most recently, she co-chaired the 2016 Visions in Methodology Conference.

Research Focus

Professor Boydstun’s research examines the interaction between media and politics, with a focus 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; the dynamics of “media storms;” and how media coverage can shape public opinion about policy issues like immigration, gun control, same-sex marriage and capital punishment. Her 2013 book, Making the News: Politics, the Media, and Agenda Setting (University of Chicago Press), unpacks the forces that drive the news and highlights the role of the media as a critical institution in the shaping of public policy. She is also co-author of The Decline of the Death Penalty and the Discovery of Innocence (Cambridge University Press), as well as many journal articles.

Selected Publications

  • Card, D., Boydstun, A. E., Gross, J. H., Resnik, J., & Smith, N. A. (2015) The media frames corpus: Annotations of frames across issues. In Proceedings of Association for Computational Linguistics Conference (ACL).
  • Boydstun, A. E., Bevan, S., & Thomas, H. III. (2014) The importance of attention diversity and how to measure it. Policy Studies Journal, 42 (2): 173-196.
  • Boydstun, A. E., Walgrave, S., & Hardy, A. (2014) Two faces of media attention: Media storms vs. general coverage. Political Communication, 31 (4): 509-531.
  • Ledgerwood, A. & and Boydstun, A. E. (2014) Sticky prospects: Loss frames are cognitively stickier than gain frames. Journal of Experimental Psychology: General, 143 (1): 376-385.
  • Boydstun, A. E., Glazier, R. A., Pietryka, M. T., & Resnik, P. (2014) Real-time reactions to a 2012 presidential debate: A method for understanding which messages matter. Public Opinion Quarterly, 78: 330-343.
  • Boydstun, A. E., Feezell, J., Glazier, R. A., Jurka, T. P., & Pietryka, M. T. (2014) Colleague crowdsourcing: A method for incentivizing national student engagement and large-N data collection. PS: Political Science & Politics. 47 (4): 829-834.
  • Boydstun, A. E. (2013) Making the News: Politics, the Media, and Agenda Setting. Chicago: University of Chicago Press.
  • Pietryka, M. T. & Boydstun, A. E. (2012) The benefits of going maverick: How candidates can use agenda-setting to influence citizen motivations and offset unpopular issue positions. Political Behavior, 34 (4): 737-763.
  • Jurka, T. P., Collingwood, L., Boydstun, A. E., Grossman, E., & van Atteveldt, W. (2013) RTextTools: A supervised learning package for text classification. The R Journal, 5 (1): 6-12.
  • Baumgartner, F. R., De Boef, S. L., & Boydstun, A. E. (2008) The Decline of the Death Penalty and the Discovery of Innocence. New York: Cambridge University Press.

Teaching

Professor Boydstun teaches upper-division undergraduate courses in media and politics, policy agenda-setting and the presidency, and every four years a lower-division course on the current American presidential election. At the graduate level, she teaches research design, issue framing, and presidential rhetoric.

Awards

  • Bloomberg Research Grant (2016–2017).
  • National Science Foundation Grant: “The Asymmetric Sequential Effects of Gain and Loss Media Frames on Economic Attitudes” (with Alison Ledgerwood), NSF Political Science Program No. SES-1211266 (September 1, 2012–2014).
  • National Science Foundation Grant: “Data-Driven, Computational Models for Discovery and Analysis of Framing” (with Noah Smith, Philip Resnik, and Justin Gross), NSF Social-Computational Systems Program, No. IIS-1211266 (2012–2015).
  • Hellman Fellowship, UC Davis, recognizing “young faculty in the core disciplines who show capacity for great distinction in their research and creative activities” (2011–2012).
  • Amazon Web Services Education Research Grant (2011).
  • Marie Curie International Fellowship, European Union Commission (2010–2011).
  • National Science Foundation Doctoral Dissertation Improvement Grant: “Agenda Setting and Issue Framing Dynamics on Front Page News,” NSF Political Science Program No. SES-0617492 (2006–2007).