50. Methodology

Molly Offer-Westort, Stanford University

A Deep Learning Model for Detecting and Classifying Protest Demand from Social Media - Xuan Luo, Tokyo Foundation for Policy Research; Sota Kato, International University of Japan; Budrul Ahsan, Philips Japan; Takafumi Nakanishi, Musashino University

Deep Interactions for Studying the Multidimensionality of Identity - Melina Much, University of California-Irvine; Ines Levin, University of California-Irvine

Encoding Geographical and Time Information in Learned Representations of Social Media Posts - Patrick Y. Wu, University of Michigan-Ann Arbor; Walter R. Mebane, University of Michigan

Partisan Polarization and Retrospective Voting: Context and Survey Methodology - Douglas Rivers, Stanford University; Stephanie Nail, Stanford University

Aaron Kaufman, New York University Abu Dhabi