*(apologies for cross-posting)*
Hi everyone,
Our next Wikidata+Wikibase office hours
<https://www.wikidata.org/wiki/Wikidata:Events#Office_hours> will be held
on Wednesday, July 12th 2023 at 16:00 UTC (18:00 Berlin) in the Wikidata
Telegram group <https://t.me/joinchat/IeCRo0j5Uag1qR4Tk8Ftsg>.
The Wikidata and Wikibase office hours are online events where the
development team presents what we have been working on over the past
quarter, and the community is welcome to ask questions and discuss
important issues related to the development of Wikidata and Wikibase.
We hope to see you there.
--
Mohammed Sadat
*Community Communications Manager, Wikidata*
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0) 30 577 116 2466
https://wikimedia.de
Grab a spot in my calendar for a chat: calendly.com/masssly.
Keep up to date! Current news and exciting stories about Wikimedia,
Wikipedia and Free Knowledge in our newsletter (in German): Subscribe now
<https://www.wikimedia.de/newsletter/>.
Imagine a world in which every single human being can freely share in the
sum of all knowledge. Help us to achieve our vision!
https://spenden.wikimedia.de
Wikimedia Deutschland – Gesellschaft zur Förderung Freien Wissens e. V.
Eingetragen im Vereinsregister des Amtsgerichts Berlin-Charlottenburg unter
der Nummer 23855 B. Als gemeinnützig anerkannt durch das Finanzamt für
Körperschaften I Berlin, Steuernummer 27/029/42207.
Dear all,
I am wondering how to create Lexemes on our Wikibase, FactGrid, with QuickStatements - is there anyone who could teach me the trick?
https://www.wikidata.org/wiki/Help:QuickStatements
...does not quite tell me.
Best,
Olaf
Dr. Olaf Simons
Forschungszentrum Gotha der Universität Erfurt
Am Schlossberg 2
99867 Gotha
Büro: +49-361-737-1722
Mobil: +49-179-5196880
Privat: Hauptmarkt 17b/ 99867 Gotha
Hi everyone,
A while ago we did a survey among reusers about the different types of
ontology issues they are facing when building applications and more
using data from Wikidata. The results are available now. More details
here: https://www.wikidata.org/wiki/Wikidata_talk:Ontology_issues_prioritization#…
Cheers
Lydia
--
Lydia Pintscher - http://about.me/lydia.pintscher - WD:Q18016466
Portfolio Lead for Wikidata
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
https://wikimedia.de
Wikimedia Deutschland – Gesellschaft zur Förderung Freien Wissens e.
V. Eingetragen im Vereinsregister des Amtsgerichts
Berlin-Charlottenburg unter der Nummer 23855 B. Als gemeinnützig
anerkannt durch das Finanzamt für Körperschaften I Berlin,
Steuernummer 27/029/42207.
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
Hello all!
The Search Platform Team usually holds an open meeting on the first
Wednesday of each month. Come talk to us about anything related to
Wikimedia search, Wikidata Query Service (WDQS), Wikimedia Commons Query
Service (WCQS), etc.!
Feel free to add your items to the Etherpad Agenda for the next meeting.
Details for our next meeting:
Date: Wednesday, May 3, 2023
Time: 15:00-16:00 UTC / 08:00 PDT / 11:00 EDT / 17:00 CEST
Etherpad: https://etherpad.wikimedia.org/p/Search_Platform_Office_Hours
Google Meet link: https://meet.google.com/vgj-bbeb-uyi
Join by phone: https://tel.meet/vgj-bbeb-uyi?pin=8118110806927
Have fun and see you soon!
Guillaume
--
*Guillaume Lederrey* (he/him)
Engineering Manager
Wikimedia Foundation <https://wikimediafoundation.org/>