By analyzing the Facebook posts of candidates in the 2016 U.S. congressional election, I develop a continuous measure of the expressed ideological position of those candidates and evaluate whether the extremity of their positions shifts after a victorious primary contest.
Using Gaussian process regression, we develop an active learning framework to improve the efficiency of human coded political texts. Utilized in tandem with an online workforce, the framework offers a scalable method of supervised data-labelling.
Published in Critical Review, 2013
Recommended citation: Joseph E. Uscinski and Ryden W. Butler. 2013. "The Epistemology of Fact Checking." Critical Review 25(2): 162-180.
Published in Research & Politics, 2018
Recommended citation: Butler, Ryden, Brendan Nyhan, Jacob M. Montgomery, and Michelle Torres. 2018. “Revisiting White Backlash: Does Race Affect Death Penalty Opinion?” Research & Politics 5(1).
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Summer Course, Washington University in St. Louis, Political Science, 2019
Material for 2019 WashU summer course “Introduction to Python” available on Github.