  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 sentence-final
particles (SFPs) and first-person pronouns appearing in the texts. It turns out
that gendered language is in fact used also on Twitter, in about 6% of the
tweets, and that the prescriptive classification into "male" and "female"
language does not always meet the expectations, with remarkable exceptions.
Further, SFPs and pronouns show increasing or decreasing trends, indicating an
evolution of the language used on Twitter.
