Dear WLE community! Something exciting is coming!🥳
The 11th edition of the Wiki Loves Earth 2023
<https://commons.wikimedia.org/wiki/Commons:Wiki_Loves_Earth_2023> photo
contest is on its way!
🌳What is it?
Wiki Loves Earth is an annual international photographic competition.
Participants take pictures of local natural heritage in their countries and
upload them to Wikimedia Commons, a sister project of Wikipedia. For all
participating countries there are separate competitions organized by local
teams.
For more information follow our page
<https://commons.wikimedia.org/wiki/Commons:Wiki_Loves_Earth_2023>!
⏰When?
This year WLE will take place between 1st May and 31st July. We have a
flexible approach regarding local dates, and local organizers decide when
exactly to hold their contest within the international timeframe.
🌍How you can join a contest this year as an organizer?
For that you need:
-
Team of volunteers with clear roles and timelines;
-
Defining eligible natural sites (must be officially protected);
-
Preparing a landing page for the local contest;
-
Promotion for the contest in social networks;
-
Jury to evaluate the photos (select top-15 local winners for an
international contest);
-
Awards for your winners.
Find out more about the process in our detailed guidelines
<https://commons.wikimedia.org/wiki/Commons:Wiki_Loves_Earth_2023/Organise>
for the local teams.
And if you want to upload your photos and become a participant, check out
all the details in our rules
<https://commons.wikimedia.org/wiki/Commons:Wiki_Loves_Earth_2023/Rules>.
Follow our channels for local organizers to be first updated about the main
news:
-
Facebook group: https://www.facebook.com/groups/wlecommunity/
-
Telegram chat: @WLE organizers 2022
-
A mailing list for local organizers: wikilovesearth(a)lists.wikimedia.org
Also, subscribe on our social media channels:
-
Instagram: https://www.instagram.com/wikilovesearth/
-
Facebook: https://www.facebook.com/interwle
-
Twitter: https://twitter.com/WikiLovesEarth
<https://mobile.twitter.com/WikiLovesEarth>
-
Website: https://wikilovesearth.org/
If you have any questions, please contact the international team at
wle-team(a)wikimedia.org.ua. We are always happy to answer your questions!
Take time for the preparation and stay tuned for Wiki Loves Earth 2023!
*Find Spanish and Arabic translations here
<https://commons.wikimedia.org/wiki/Commons:Wiki_Loves_Earth_2023/Announceme…>
*
--
Best regards,
Olesia Lukaniuk
Project Manager for Wiki Loves Earth
Hi everyone,
We are a team of researchers working on a project that involves analyzing
the cultural diversity and gender representation of images on Wikimedia
Commons. To achieve this, we need to annotate a large number of images
based on gender and cultural representation (specifically food and dress).
This is where we need your help! We are looking for volunteers who are
interested in participating in this annotation project. No prior experience
is required, and all you need is access to a computer and an internet
connection.
The annotation process will be conducted online using a simple labeling
tool that we have built. This tool will be accessible via a web link and
can be completed at any time convenient for you.
Your task will be to view and label batches of images based on cultural
items such as food and dress, and gender representation depicted in the
images. Each batch of images should take about 30 minutes to label, and you
may complete up to 2 batches of images.
Your work may potentially be contributed back to Wikimedia Commons to help
improve the structured data if you give us permission to do so.
Additionally, for each batch of images you complete, we will offer you a
gift card valued at $15 or a note of appreciation as a token for your time.
If you are interested in participating, please fill out this online form
<https://form.jotform.com/230713723454048>. If there are still available
slots, we will email you with the next steps.
Thank you in advance for your help!
On behalf of the team,
*French:*
Bonjour à tous,
Nous sommes une équipe de chercheurs travaillant sur un projet qui consiste
à analyser la diversité culturelle et la représentation du genre des images
sur Wikimedia Commons. Pour ce faire, nous avons besoin d'annoter un grand
nombre d'images en fonction du genre et de la représentation culturelle (en
particulier la nourriture et la tenue vestimentaire).
C'est là que nous avons besoin de votre aide ! Nous recherchons des
bénévoles qui souhaitent participer à ce projet d'annotation. Aucune
expérience préalable n'est requise, et tout ce dont vous avez besoin, c'est
d'un accès à un ordinateur et d'une connexion internet.
Le processus d'annotation sera mené en ligne à l'aide d'un outil
d'étiquetage simple que nous avons construit. Cet outil sera accessible via
un lien web et pourra être utilisé au moment qui vous conviendra le mieux.
Votre tâche consistera à visualiser et à étiqueter des lots d'images sur la
base d'éléments culturels tels que la nourriture et les vêtements, ainsi
que la représentation des sexes sur les images. Chaque lot d'images devrait
prendre environ 30 minutes à étiqueter, et vous pouvez compléter jusqu'à
deux lots d'images.
Votre travail pourra éventuellement être reversé à Wikimedia Commons afin
d'améliorer les données structurées si vous nous en donnez l'autorisation.
En outre, pour chaque lot d'images réalisé, nous vous offrirons une
carte-cadeau d'une valeur de 15 dollars ou une note de remerciement en
guise de remerciement pour le temps que vous nous avez consacré.
Si vous souhaitez participer, veuillez remplir ce formulaire en ligne
<https://form.jotform.com/230713723454048>. S'il reste des places
disponibles, nous vous enverrons un courrier électronique pour vous
indiquer la marche à suivre.
Merci d'avance pour votre aide !
Au nom de l'équipe,
*Spanish:*
Hola a todos,
Somos un equipo de investigadores trabajando en un proyecto que consiste en
analizar la diversidad cultural y la representación de género de las
imágenes en Wikimedia Commons. Para conseguirlo, necesitamos anotar un gran
número de imágenes basándonos en el género y la representación cultural
(específicamente comida y vestimenta).
Aquí es donde necesitamos tu ayuda. Buscamos voluntarios interesados en
participar en este proyecto de anotación. No se requiere experiencia
previa, y todo lo que se necesita es acceso a un ordenador y conexión a
Internet.
El proceso de anotación se llevará a cabo en línea utilizando una sencilla
herramienta de etiquetado que hemos creado. Podrá acceder a esta
herramienta a través de un enlace web y completarla en cualquier momento
que le resulte conveniente.
Su tarea consistirá en ver y etiquetar lotes de imágenes basándose en
elementos culturales como la comida y la vestimenta, y la representación de
género que aparecen en las imágenes. Etiquetar cada lote de imágenes le
llevará unos 30 minutos, y podrá completar hasta 2 lotes de imágenes.
Tu trabajo podrá ser devuelto a Wikimedia Commons para ayudar a mejorar los
datos estructurados si nos das permiso para ello. Además, por cada lote de
imágenes que complete, le ofreceremos una tarjeta regalo valorada en 15
dólares o una nota de agradecimiento como muestra de su tiempo.
Si está interesado en participar, rellene este formulario en línea
<https://form.jotform.com/230713723454048>. Si aún quedan plazas
disponibles, te enviaremos un correo electrónico con los pasos a seguir.
Gracias de antemano por su ayuda.
En nombre del equipo,
*Sadik Shahadu *
*West African Language Coordinator*
Art + Feminism <https://www.artandfeminism.org/>
*Advisory Board Member*
*Open Education for a Better World <https://oe4bw.org/advisory-board/>*
*Call/Whatsapp: +233244666136*
*Twitter: @Sadike25 <https://twitter.com/Sadike25>*
Certified Nonprofit Technology Professional
<https://api.accredible.com/v1/frontend/credential_website_embed_image/certi…>
Recent publication: A global outlook to the interruption of education due
to COVID-19 pandemic: Navigating in a time of uncertainty and crisis
<http://www.asianjde.com/ojs/index.php/AsianJDE/article/view/462>
*Yes, we can!*
Dear All,
I am looking for ideas on materials (especially interactive ones) for those
who begin their journey with Wikipedia. Do you have any recommendations
that you would like to share and which are working in your communities? :)
Thank you in advance,
Małgorzata Gramatnikowska
Wikimedia Polska
Junior Community Support Officer
tel: +48 730 290 269
e-mail: malgorzata.gramatnikowska(a)wikimedia.pl
*Wesprzyj wolną wiedzę!* <https://wikimedia.pl/darowizny/>
*Stowarzyszenie Wikimedia Polska <https://wikimedia.pl/>*
al. Jana Chrystiana Szucha 16/15 Warszawa 00-580
KRS 0000244732
NIP 728-25-97-388
Informacje na temat przetwarzania znajdują się w
<https://pl.wikimedia.org/wiki/Polityka_prywatno%C5%9Bci>Polityce
Prywatności <https://pl.wikimedia.org/wiki/Polityka_prywatno%C5%9Bci>.
Kontakt: rodo(a)wikimedia.pl
Hello all,
As you may already know, the Wikimedia Hackathon 2023 will take place in
Technopolis, Athens, Greece, on May 19-21. This in-person event will gather
the global Wikimedia technical community to connect, hack, run technical
discussions, and explore new ideas.
*If you plan to join, please register as soon as possible.*
Registration for the Hackathon will be open until we reach the event's
maximum capacity [0]. If you plan to join, we encourage you to register as
soon as possible, as there are currently around ten slots left. We also
encourage you to book your travel and accommodation shortly. You will find
more information on the travel [1] and accommodation [2] pages. You are
also welcome to help us improve those pages by adding additional
information about Athens and how to travel there.
For people who already registered, remember to confirm your attendance by
filling out the additional field in the registration form (see the email
sent by hackathon(a)wikimedia.org on March 13). Please note that WMF's
scholarship process concluded in January, and aside from the 51 people who
got a scholarship confirmed, we cannot support people with funds or visa
documents. Therefore, most participants must organize their own travel to
stay in Athens.
This year's edition will focus on bringing together people who already
contribute to technical aspects of the Wikimedia projects, know how to find
their way around in the technical ecosystem, and can work or collaborate on
projects more autonomously. For people new to our technical environment,
there are other newcomers-friendly events you can join throughout the year
- feel free to improve the list. [3]
*You can organize a satellite event with your local community.*
For people new to the technical aspects of the Wikimedia projects or who
cannot attend the in-person event, a great option could be to organize an
autonomous, local satellite event to the Hackathon. These events can occur
before, during, or after the in-person event. If you are considering
running an event like this, contact your local community to get started! If
you need financial support, please note that the deadline to apply for the
current round of Rapid Funds is March 20 [4].
*Proposals for the in-person program are welcome until April 4.*
The Hackathon is organized as a participant-driven event and lives from the
active participation of its attendees. Because this year's edition is
focused on reconnecting with your technical community peers in person, most
of the program will take place onsite. You can propose a session by
creating a task on the Phabricator board. Find more information on the
Program page [5].
Similar to the satellite events, some online sessions, in parallel or ahead
of the event, may be organized autonomously by participants. In any case,
participants are free to work on their projects, whether in-person or
online, and connect to the technical community on the Hackathon channels
[6].
If you have any questions, feel free to use the Hackathon talk page or to
reach out to the organizers at hackathon(a)wikimedia.org.
Cheers,
Srishti
On behalf of the Hackathon organizing team
[0]
https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Participate#Registr…
[1] https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Travel
[2] https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Accommodation
[3] https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Documentation#Event…
[4] https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Satellite_events
[5] https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Program
[6] https://www.mediawiki.org/wiki/Wikimedia_Hackathon_2023/Connect
*Srishti Sethi*
Senior Developer Advocate
Wikimedia Foundation <https://wikimediafoundation.org/>
Hi all,
The next Research Showcase, focused on Gender and Equity on Wikipedia, will
be live-streamed Wednesday, March 15, at 9:30 AM PST / 16:30 UTC. Find your
local time here <https://zonestamp.toolforge.org/1678897840>.
YouTube stream: https://www.youtube.com/watch?v=lw4MzJgDIzo
You can join the conversation on IRC at #wikimedia-research. You can also
watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
This month's presentations:
Men Are elected, women are marriedː events gender bias on Wikipedia
By *Jiao Sun, University of Southern California*Human activities can be
seen as sequences of events, which are crucial to understanding societies.
Disproportional event distribution for different demographic groups can
manifest and amplify social stereotypes, and potentially jeopardize the
ability of members in some groups to pursue certain goals. In this paper,
we present the first event-centric study of gender biases in a Wikipedia
corpus. To facilitate the study, we curate a corpus of career and personal
life descriptions with demographic information consisting of 7,854
fragments from 10,412 celebrities. Then we detect events with a
state-of-the-art event detection model, calibrate the results using
strategically generated templates, and extract events that have asymmetric
associations with genders. Our study discovers that the Wikipedia pages
tend to intermingle personal life events with professional events for
females but not for males, which calls for the awareness of the Wikipedia
community to formalize guidelines and train the editors to mind the
implicit biases that contributors carry. Our work also lays the foundation
for future works on quantifying and discovering event biases at the corpus
level.
- Paperː Sun, J. & Peng, N. (2021). Men Are Elected, Women Are Married:
Events Gender Bias on Wikipedia. Proceedings of the 59th Annual Meeting of
the Association for Computational Linguistics and the 11th International
Conference on Natural Language Processing, 350-360.
<https://aclanthology.org/2021.acl-short.45.pdf>
Twitter reacts to absence of women on Wikipediaː a mixed-methods analysis
of #VisibleWikiWomen campaignBy *Sneh Gupta, Guru Gobind Singh Indraprastha
University*Digital gender divide (DGD) is visible in access, participation,
representation, and biases against women embedded in Wikipedia, the largest
digital reservoir of co-created content. This article examined the content
of #VisibleWikiWomen, a global digital advocacy campaign aimed at
encouraging inclusion of women voices in the global technology conversation
and improving digital sustainability of feminist data on Wikipedia. In a
mixed-methods study, Sentiment Analysis followed by a Feminist Critical
Discourse Analysis of the campaign tweets reveals how digital gender divide
manifested in the public response. An overwhelming majority of tweets
expressed positive sentiment towards the objective of the campaign. An
inductive reading of the coded tweets (n = 1067) generated five themes:
Feminist Activism, Invisibility & Marginalization of Women, Technology for
Women Empowerment, Gendered Knowledge Inequity, and Power Dynamics in the
Digital Sphere. Twitter discourse presented many agitated digital users
calling out the epistemic injustice on Wikipedia that goes beyond the
invisibility of women. Their tweets reveal that they want an equal social
platform inclusive of women of color and varied identities currently absent
in the Wikipedia universe. Extracting ideas, values, and themes from new
media campaigns holds unparalleled potential in the diffusion of
interventions and messages on a larger scale.
- Paperː Gupta, S., & Trehan, K. (2022). Twitter reacts to absence of
women on Wikipedia: a mixed-methods analysis of #VisibleWikiWomen campaign.
Media Asia, 49(2), 130-154.
<https://www.researchgate.net/publication/356909618_Twitter_reacts_to_absenc…>
Warm regards,
Emily
--
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation