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.
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Active Learning with Gaussian Process Regression for Efficient Human Coding of Political Texts (with Roman Garnett & Jacob Montgomery)
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
Published in Research & Politics, 2018
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