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This study sought to understand online political polarization in Japan on the basis of ideological stances and interaction behaviors. Motivated by the advantages provided by social media data, this research worked toward the aforementioned aim by leveraging a computational method. Specifically, the ideological positions of numerous Twitter users were determined by implementing calculations to identify and map their follow networks, which enabled ascertaining the degree of polarization in termsdoi:10.11218/ojjams.35.170 fatcat:c4jip454ijeclltlm3e6hyux4q