Sorting and Affective Polarization: A Machine Learning Approach

• In Event: Ideology and Ideological Formation

Brief Overview

Using a machine learning approach I develop new measures of ideological and social sorting. I show that both kinds of sorting have increased at same rate, and that both are associated with levels of affective polarization at the individual level.

Author

• David W Bracken, University of California-Davis