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

[Pablo Aragón]

Hi all,

A friendly reminder that this is starting in about 30 minutes. We hope you
can join us!

Best,

On Thu, Jun 15, 2023 at 10:53 AM Pablo Aragón  wrote:

> 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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[Wikimedia-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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