 Good afternoon or morning or evening, depending on where you are. This presentation is titled How does Wikileta shape gender identities, initial findings and developments from the WJD Wikileta Gender Diversity Project. I'm Lania Lemetilli and my co-authors are Patricia Melis, Chirapolini and Marta Fioravanti. What is our project about? It is a one-year project funded through the Wikimedia Research Fund and started in September 2022. We are looking at gender diversity in Wikileta, focusing not just on the gender gap between men and women, but also on marginalized gender identities. We are centering these identities, looking at them from a queer and intersectional feminist perspective. Our motivation is that the identities that fall outside the gender binary suffer discrimination and systematic erasure in society, impacting especially trans people, non-binary people, intersex people, but any kind of sex or gender diverse identity. Now some important facts so that we know to be true. First of all, gender is not a male-female binary. It is actually much more complex than that. As you can see from this still quite simplified picture, where you have a distinction between gender identity, gender expression, sex-assigned births, physical attraction and emotional attraction. And more aspects of gender could be added, such as gender modality, trans or cisgender, and even pronouns. And all of these are independent variables, in the sense that for example, just by looking at someone's pronouns, you cannot reliably infer their gender. It is also important to note that gender diversity is not a new phenomenon. Sex and non-binary people, like me, have existed on this planet for a long, long time. And there is plenty of data and documentation attesting to this. Now what are the research questions of our project? We have three, broadly, how, what and why. So we are looking at how gender is modeled in Wikidata and how it has been modeled historically. In the ontology, we are looking at what is represented. Also the gender data, who, in the sense of which people, but also what data we have in the knowledge base about them. And then we are looking at why, and to look at why, we are looking at discussions about gender made by the community. Each research question corresponds roughly to a project outcome. So we have, number one, a Wikidata gender timeline, which is a complete interactive timeline of gender modeling in Wikidata, looking at all the major events throughout the history of Wikidata. Then we have Wikidata gender dashboard, number two, a dashboard showing statistics about gender identities in Wikidata. Not just about the number of people, but also about other aspects that are described in their biographies, in their biographical data. Number three, Wikidata gender talk is a corpus of user discussions about gender that can potentially be reused by other researchers. Number one, the Wikidata gender timeline. This is now at a good stage of development. Here you can see just a screenshot, but basically we have all the events classified, ordered chronologically, and linked to each other. Then we have the Wikidata gender dashboard that is still in development, so we're only showing some statistics here. Currently, there are 25% women and 74% men in the knowledge base, and a small percentage of non-binary people, about 1,000, and 150 intersex people. Of course, there are also 400 trans men and about 1,700 trans women. This means trans men are men, trans women are women, and this is a fact not up for debate. We include the trans men among men and trans women among women. In this slide, we can see some additional data about identities that fall under the non-binary umbrella, such as gender fluid, gender, gender queer. This is interesting, also we have noticed that over the last few years there has been a significant increase in the number of non-binary people, and also a bit of a shake-up in the numbers for the different identities. Finally, the third outcome, which is also at a good stage of development, is the Wikidata gender talk, a corpus, a Wikidata user discussions. Our analysis of the corpus is based on computational linguistics, using especially discourse analysis and topic modeling, and we are looking at it from quantitative and qualitative point of view. Of course, this is not all, we have many other topics of interest that we have started to look at, such as the role of language, the structure and evolution of the ontology model, family relations that are sometimes gendered, and other gendered properties, Wikidata versus Wikipedia, the population of gender values, including the role of bots, handling of gender transitions, deadnaming, pronouns, and we could list a lot more. Since we don't have time to report the detailed results here, we have just listed our first publication on the subject, which is called non-binary gender representation in Wikidata. It is a book chapter as part of ethics in linked data. I also want to mention that we recently had an abstract accepted for the special issue of internet histories on gender, so we are very happy about it and we will start working on the paper very soon. Finally, we have a lot of presentations. This is actually the first one for this year, so in the next couple of days we are participating in creaming Wikipedia. We invite you to participate as well because it is a very interesting event. Then we are doing three conferences in June and one Wikipedia event and we are planning more conferences later. But I want to mention that in September we will have an end-of-project event that will demonstrate and show all the results. So we hope to see you there as well. This is all for now. Thank you very much from me and from the rest of the team. This is our website where we are starting to put some information about the project and then we will publish all the results here. If you're interested in discussing the project with us, you can find our contacts on the website and reach us from there. Thank you.