Wikidata Gender Diversity (WiGeDi) is a one-year project funded through the Wikimedia Research Fund, aiming to study gender diversity in Wikidata in a wide and comprehensive way. In the project, we adopt an intersectional feminist and queer approach, viewing gender as a social construct and centering marginalized gender identities such as trans and non-binary people. To study gender diversity in Wikidata, we are adopting three complementary perspectives: model, data, and community. First, we are investigating how the current Wikidata ontology model represents gender, attempting to understand the extent to which this representation is fair and inclusive, and looking at how the Wikidata ontology has evolved over time to support the representation of a wider spectrum of identities. We are analysing the data stored in the knowledge base in a quantitative way, to gather insights and identify gaps. Finally, we are looking at how the community has handled the move towards the inclusion of a wider spectrum of gender identities, by analysing user discussions about the topic with computational linguistics methods; indeed, gender representation is often intrinsically connected to language, and this is especially relevant in a multilingual project such as Wikidata. We believe that only by answering all three questions it will be possible to obtain a comprehensive overview of gender diversity in Wikidata. In the presentation, we will discuss early results from the project and show a preview of the tools that we are building to explore and analyze the data
