POLICY CHANGE & DISCOURSE

Please do not hesitate to contact me, if you would like a copy of any working paper.

 

Shifting Discourse, Shifting Policy

A Book Project

Does and why does policy discussion influence and inform policy decisions and outcomes? discussion influence bill outcomes? I propose that the construction of policy discussion through the selection of frames shapes the considerations of those evaluating proposed policy changes. To describe the policy discussion, the frame set---the summary of the frames used to discussed the issue---can be examined. By focusing on the composition of the discussion, I shift the focus from the use of individual frames and their characteristics to the concept of the "frame set." Then I posit and show that as the frame set changes more, policy change is more likely to occur. To test these claims, I primarily focus on policy change (i.e., bill passage) in Congress using machine learning and text analysis techniques to develop new measures of policy change and change in the frame set. Then, I show that the same, fundamental pattern is observed in different venues (e.g. passage of bills in the U.S. states regarding immigration and migration or number of death sentences over time).

Select Associated Presentations:

  • "How Shifting Policy Discussion Influences Bill Passage" (Poster
    Awarded the Society for Political Methodology: Best Graduate Poster (Applications) at the 35th Annual Meeting (2018)

 

Elite Discourse and Public Facing Communication

Working Papers:

  • Kelsey Shoub. "To Speak or Not to Speak: Examining Agenda Setting in Senate Speech." Under Review.

  • Kelsey Shoub, Craig Volden, Alan Wiseman. "The Distorted Image and Voice of Congress."

 

OTHER WORK

Publication:

  • “Population Dynamics and Representation.” In David Lowery, Virginia Gray, and Darren Halpin, eds., The Organization Ecology of Interest Communities: Assessment and Agenda. London: Palgrave, 2015, pp 203–224. (Frank R. Baumgartner and Kelsey Shoub)

Working Paper:

  • Santiago Olivella and Kelsey Shoub. "Machine Learning in Political Science: Supervised Learning Models." Chapter submission to The Handbook of Research Methods in Political Science and International Relations ed. by Robert J. Franzese, Jr & Lugi Curini in Sage's handbook series. Revised chapter submitted May 2019.

 

kelsey.shoub[at]gmail.com

Columbia, SC

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