[Wiki-research-l] Re: Wikimedia Research Showcase June 21 at 16:30 UTC

[Pablo Aragón]

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  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 .
>
> 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).
>   
>
>
>- *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.
>   
>
> 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
>
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[Wiki-research-l] Wikimedia Research Showcase June 21 at 16:30 UTC

[Pablo Aragón]

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 .

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).
  


   - *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. 

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
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