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This study analyzes the usage of Japanese gendered language on Twitter. Starting from a collection of 408 million Japanese tweets from 2015 till 2019 and an additional sample of 2355 manually classified Twitter accounts timelines into gender and categories (politicians, musicians, etc). A large scale textual analysis is performed on this corpus to identify and examine sentencefinal particles (SFPs) and first-person pronouns appearing in the texts. It turns out that gendered language is in factdoi:10.30935/ojcmt/9141 fatcat:pt4r7ylqvva4tbl6ft4wvuhr3m