Contrastive Multiple Correspondence Analysis (cMCA): Using Contrastive Learning to Identify Latent Subgroups in Political Parties

• In Event: New Approaches in Measurement

Brief Overview

We demonstrate that cMCA derives latent patterns which are not discovered by traditional scaling: the Brexit division within two main parties in the U.K. and the xenophobic wing within the Liberal Democratic Party in Japan.

Authors

• Tzu-Ping Liu, University of Taipei

• Takanori Fujiwara, University of California at Davis