Hi again, There was an error in the previous message: the title of the second presentation is *“How do you represent my gender? Challenges and opportunities from the Wikidata Gender Diversity project”*.
Hope you can join us! Warm regards, On Thu, Jun 15, 2023 at 9:16 AM Pablo Aragón <para...@wikimedia.org> wrote: > Hi all, > > The next Research Showcase, with the theme of *Wikimedia and LGBTQIA+*, > will be live-streamed Wednesday, June 21 at 16:30 UTC. Find your local time > here <https://zonestamp.toolforge.org/1687365012>. > > YouTube stream: https://www.youtube.com/watch?v=AOD2ZdxRNfo > > You can join the conversation on IRC at #wikimedia-research or on the > YouTube chat. > > This month's presentations: > > - *Multilingual Contextual Affective Analysis of LGBT People > Portrayals in Wikipedia* > - *Speaker*: Chan Park, Carnegie Mellon University > - *Abstract*: In this talk, I present our research on analyzing the > portrayal of LGBT individuals in their biographies on Wikipedia, with a > particular focus on subtle word connotations and cross-cultural > comparisons. We aim to address two primary research questions: 1) How > can > we effectively measure the nuanced connotations of words in multilingual > texts, which reflect sentiments, power dynamics, and agency? 2) How can > we > analyze the portrayal of a specific group, such as the LGBT community, > and > compare these portrayals across different languages? To answer these > questions, we collect the Multilingual Contextualized Connotation Frames > dataset, comprising 2,700 examples in English, Spanish, and Russian. We > also develop a new multilingual model based on pre-trained multilingual > language models. Additionally, we devise a matching algorithm to > construct > a comparison corpus for the target corpus, isolating the attribute of > interest. Finally, we showcase how our developed models and constructed > corpora enable us to conduct cross-cultural analysis of LGBT People > Portrayals on Wikipedia. Our results reveal systematic differences in > how > the LGBT community is portrayed across languages, surfacing cultural > differences in narratives and signs of social biases. > - *Paperː* Park, C. Y., Yan, X., Field, A., & Tsvetkov, Y. (2021, > May). Multilingual contextual affective analysis of LGBT people > portrayals > in Wikipedia. In Proceedings of the International AAAI Conference on Web > and Social Media (Vol. 15, pp. 479-490). > <https://arxiv.org/pdf/2010.10820.pdf> > > > - *Visual gender biases in Wikipediaː A systematic evaluation across > the ten most spoken languages* > - *Speaker*: Daniele Metilli, University College London > - *Abstract*: Wikidata Gender Diversity (WiGeDi) is a one-year > project funded through the Wikimedia Research Fund. The project is > studying > gender diversity in Wikidata, focusing on marginalized gender identities > such as those of trans and non-binary people, and adopting a queer and > intersectional feminist perspective. The project is organised in three > strands — model, data, and community. First, we are looking at how the > current Wikidata ontology model represents gender, and the extent to > which > this representation is inclusive of marginalized gender identities. We > are > analysing the data stored in the knowledge base to gather insights and > identify possible gaps and biases. Finally, we are looking at how the > community has handled the move towards the inclusion of a wider > spectrum of > gender identities by studying a corpus of user discussions through > computational linguistics methods. This presentation will report on the > current status of the Wikidata Gender Diversity project and the > envisioned > outcomes. We will discuss the main challenges that we are facing and the > opportunities that our project will potentially enable, on Wikidata and > beyond. > - *Paperː* Metilli D. & Paolini C. (in press). ‘Non-binary gender > representation in Wikidata’. In: Provo A., Burlingame K. & Watson B.M. > Ethics in Linked Data. Litwin Books. > <https://wigedi.com/chapter.pdf> > > You can watch our past Research Showcases here: > https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase > > > Hope you can join us! > > Warm regards, > > -- > > *Pablo Aragón (he/him)* > Research Scientist > Wikimedia Foundation > https://research.wikimedia.org >
_______________________________________________ Analytics mailing list -- analytics@lists.wikimedia.org To unsubscribe send an email to analytics-le...@lists.wikimedia.org
