Big Data in Political Science

Political Analysis (which I co-edit with fellow VTP-PI Jonathan Katz) just released a ten-article “virtual issue” on Big Data in Political Science. The ten article virtual issue is edited by Burt Monroe, and contains a number of important papers that will be of interest to Election Updates readers.

The articles in the virtual issue are now free-access, for a limited time.

Big Data in Political Science

Burt Monroe, Editor

Validation: What Big Data Reveal about Survey Misreporting and the Real Electorate
Stephen Ansolabehere and Eitan Hersh
Political Analysis (2012) 20(4): 437-459

Evaluating Online Labor Markets for Experimental Research:’s Mechanical Turk
Adam J. Berinsky, Gregory A. Huber, and Gabriel S. Lenz
Political Analysis (2012) 20(3): 351-368

Fightin’ Words: Lexical Feature Selection and Evaluation for Identifying the Content of Political Conflict
Burt L. Monroe, Michael P. Colaresi, and Kevin M. Quinn
Political Analysis (2008) 16(4): 372-403

Reaching Migrants in Survey Research: The Use of the Global Positioning System to Reduce Coverage Bias in China
Pierre F. Landry and Mingming Shen
Political Analysis (2005) 13(1): 1-22

An Introduction to Bayesian Inference via Variational Approximations
Justin Grimmer
Political Analysis (2011) 19(1): 32-47

Inferential Network Analysis with Exponential Graph Models
Skyler J. Cranmer and Bruce A. Desmarais
Political Analysis (2011) 19(1): 66-86

Finding Jumps in Otherwise Smooth Curves: Identifying Critical Events in Political Processes
Marc T. Ratkovic and Kevin H. Eng
Political Analysis (2010) 18(1): 55-77

Improving Predictions Using Ensemble Bayesian Model Averaging
Jacob M. Montgomery, Florian M. Hollenbach, and Michael D. Ward
Political Analysis (2012) 20(3): 271-291

Bayesian Metric Multidimensional Scaling
Ryan Bakker and Keith T. Poole
Political Analysis (2013) 21(1): 125-140

The Genealogy of Law
Tom S. Clark and Benjamin E. Lauderdale
Political Analysis (2012) 20(3): 329-350