This paper (first reference) is the result of a class project I was part of
almost two years ago for CSCI 5417 Information Retrieval Systems. It builds
on a class project I did in CSCI 5832 Natural Language Processing and which
I presented at Wikimania '07. The project was very late as we didn't send
the final paper in until the day before new years. This technical report was
never really announced that I recall so I thought it would be interesting to
look briefly at the results. The goal of this paper was to break articles
down into surface features and latent features and then use those to study
the rating system being used, predict article quality and rank results in a
search engine. We used the [[random forests]] classifier which allowed us to
analyze the contribution of each feature to performance by looking directly
at the weights that were assigned. While the surface analysis was performed
on the whole english wikipedia, the latent analysis was performed on the
simple english wikipedia (it is more expensive to compute). = Surface
features = * Readability measures are the single best predictor of quality
that I have found, as defined by the Wikipedia Editorial Team (WET). The
[[Automated Readability Index]], [[Gunning Fog Index]] and [[Flesch-Kincaid
Grade Level]] were the strongest predictors, followed by length of article
html, number of paragraphs, [[Flesh Reading Ease]], [[Smog Grading]], number
of internal links, [[Laesbarhedsindex Readability Formula]], number of words
and number of references. Weakly predictive were number of to be's, number
of sentences, [[Coleman-Liau Index]], number of templates, PageRank, number
of external links, number of relative links. Not predictive (overall - see
the end of section 2 for the per-rating score breakdown): Number of h2 or
h3's, number of conjunctions, number of images*, average word length, number
of h4's, number of prepositions, number of pronouns, number of interlanguage
links, average syllables per word, number of nominalizations, article age
(based on page id), proportion of questions, average sentence length. :*
Number of images was actually by far the single strongest predictor of any
class, but only for Featured articles. Because it was so good at picking out
featured articles and somewhat good at picking out A and G articles the
classifier was confused in so many cases that the overall contribution of
this feature to classification performance is zero. :* Number of external
links is strongly predictive of Featured articles. :* The B class is highly
distinctive. It has a strong "signature," with high predictive value
assigned to many features. The Featured class is also very distinctive. F, B
and S (Stop/Stub) contain the most information.
:* A is the least distinct class, not being very different from F or G. =
Latent features = The algorithm used for latent analysis, which is an
analysis of the occurence of words in every document with respect to the
link structure of the encyclopedia ("concepts"), is [[Latent Dirichlet
Allocation]]. This part of the analysis was done by CS PhD student Praful
Mangalath. An example of what can be done with the result of this analysis
is that you provide a word (a search query) such as "hippie". You can then
look at the weight of every article for the word hippie. You can pick the
article with the largest weight, and then look at its link network. You can
pick out the articles that this article links to and/or which link to this
article that are also weighted strongly for the word hippie, while also
contributing maximally to this articles "hippieness". We tried this query in
our system (LDA), Google (site:en.wikipedia.org hippie), and the Simple
English Wikipedia's Lucene search engine. The breakdown of articles occuring
in the top ten search results for this word for those engines is: * LDA
only: [[Acid rock]], [[Aldeburgh Festival]], [[Anne Murray]], [[Carl
Radle]], [[Harry Nilsson]], [[Jack Kerouac]], [[Phil Spector]], [[Plastic
Ono Band]], [[Rock and Roll]], [[Salvador Allende]], [[Smothers brothers]],
[[Stanley Kubrick]]. * Google only: [[Glam Rock]], [[South Park]]. * Simple
only: [[African Americans]], [[Charles Manson]], [[Counterculture]], [[Drug
use]], [[Flower Power]], [[Nuclear weapons]], [[Phish]], [[Sexual
liberation]], [[Summer of Love]] * LDA & Google & Simple: [[Hippie]],
[[Human Be-in]], [[Students for a democratic society]], [[Woodstock
festival]] * LDA & Google: [[Psychedelic Pop]] * Google & Simple: [[Lysergic
acid diethylamide]], [[Summer of Love]] ( See the paper for the articles
produced for the keywords philosophy and economics ) = Discussion /
Conclusion = * The results of the latent analysis are totally up to your
perception. But what is interesting is that the LDA features predict the WET
ratings of quality just as well as the surface level features. Both feature
sets (surface and latent) both pull out all almost of the information that
the rating system bears. * The rating system devised by the WET is not
distinctive. You can best tell the difference between, grouped together,
Featured, A and Good articles vs B articles. Featured, A and Good articles
are also quite distinctive (Figure 1). Note that in this study we didn't
look at Start's and Stubs, but in earlier paper we did. :* This is
interesting when compared to this recent entry on the YouTube blog. "Five
Stars Dominate Ratings"
http://youtube-global.blogspot.com/2009/09/five-stars-dominate-ratings.html…
I think a sane, well researched (with actual subjects) rating system
is
well within the purview of the Usability Initiative. Helping people find and
create good content is what Wikipedia is all about. Having a solid rating
system allows you to reorganized the user interface, the Wikipedia
namespace, and the main namespace around good content and bad content as
needed. If you don't have a solid, information bearing rating system you
don't know what good content really is (really bad content is easy to spot).
:* My Wikimania talk was all about gathering data from people about articles
and using that to train machines to automatically pick out good content. You
ask people questions along dimensions that make sense to people, and give
the machine access to other surface features (such as a statistical measure
of readability, or length) and latent features (such as can be derived from
document word occurence and encyclopedia link structure). I referenced page
262 of Zen and the Art of Motorcycle Maintenance to give an example of the
kind of qualitative features I would ask people. It really depends on what
features end up bearing information, to be tested in "the lab". Each word is
an example dimension of quality: We have "*unity, vividness, authority,
economy, sensitivity, clarity, emphasis, flow, suspense, brilliance,
precision, proportion, depth and so on.*" You then use surface and latent
features to predict these values for all articles. You can also say, when a
person rates this article as high on the x scale, they also mean that it has
has this much of these surface and these latent features.
= References =
- DeHoust, C., Mangalath, P., Mingus., B. (2008). *Improving search in
Wikipedia through quality and concept discovery*. Technical Report.
PDF<http://grey.colorado.edu/mediawiki/sites/mingus/images/6/68/DeHoustMangalat…>
- Rassbach, L., Mingus., B, Blackford, T. (2007). *Exploring the
feasibility of automatically rating online article quality*. Technical
Report. PDF<http://grey.colorado.edu/mediawiki/sites/mingus/images/d/d3/RassbachPincock…>
Hello everyone,
Wikimedia is participating in the winter edition of this year's Outreachy <
https://www.outreachy.org/> [1] (December 2022–March 2023)! The deadline to
submit projects on the Outreachy website is September 30th, 2022. We are
currently working on a list of interesting project ideas. If you have some
ideas for coding or non-coding (design, documentation, translation,
outreach, research) projects, share them here: <
https://phabricator.wikimedia.org/T313361> [2].
*About the Outreachy program*
Outreachy offers three-month internships to work remotely in Free and Open
Source Software (FOSS), coding, and non-coding projects with experienced
mentors. These internships run twice a year–from May to August and December
to March. Interns are paid a stipend of USD 7000 for the three months of
work. Interns often find employment after their internship with Outreachy
sponsors or jobs that use the skills they learned during their internship.
This program is open to both students and non-students. Outreachy expressly
invites the following people to apply:
* Women (both cis and trans), trans men, and genderqueer people.
* Anyone who faces under-representation, systematic bias, or discrimination
in the technology industry in their country of residence.
* Residents and nationals of the United States of any gender who are
Black/African American, Hispanic/Latinx, Native American/American Indian,
Alaska Native, Native Hawaiian, or Pacific Islander.
See a blog post highlighting the experiences and outcomes of interns who
participated in a previous round of Outreachy with Wikimedia <
https://techblog.wikimedia.org/2021/06/02/outreachy-round-21-experiences-an…>
[3]
*Tips for mentors for proposing projects*
* Follow this task description template when you propose a project in
Phabricator: <
https://phabricator.wikimedia.org/tag/outreach-programs-projects> [4]. Add
#Outreachy-Round-25 tag.
* Project should require an experienced developer ~15 days and a newcomer
~3 months to complete.
* Each project should have at least two mentors, with one of them holding a
technical background.
* Ideally, the project has no tight deadlines, a moderate learning curve,
and fewer dependencies on Wikimedia's core infrastructure. Projects
addressing the needs of a language community are most welcome.
* If you don't have an idea in mind and would like to pick one from an
existing list, check out these projects: <
https://phabricator.wikimedia.org/tag/outreach-programs-projects/> [4]
* To learn more about the roles and responsibilities of mentors, visit our
resources on MediaWiki.org: <
https://www.mediawiki.org/wiki/Outreachy/Mentors> [5].
We look forward to your participation!
Cheers,
Srishti
[1] https://www.outreachy.org/
[2] https://phabricator.wikimedia.org/T313361
[3]
https://techblog.wikimedia.org/2021/06/02/outreachy-round-21-experiences-an…
[4] https://phabricator.wikimedia.org/tag/outreach-programs-projects/
[5] https://www.mediawiki.org/wiki/Outreachy/Mentors
*Srishti Sethi*
Senior Developer Advocate
Wikimedia Foundation <https://wikimediafoundation.org/>
Hi all,
I want to bring a legal concern here on Google's misuse of our content. [It came up today on Twitter](https://twitter.com/epineda/status/1564143156702199813?s=20&t=z2xu… that the GoogleTV app had linked a movie description text in Catalan language (which in principle it should be good news regarding language normalization). However, shortly after a wikipedian colleague realised that the text was fully taken by the Catalan Wikipedia. Once I downloaded the app by myself, I double-checked that Google does not specify anywhere (or at least that I could find minimally visible) that those lines belong to Wikipedia: neither the origin, the license, nor a link to the full article or to the CC license.
I'd like to recall the licensing footpage on Wikipedia(Text is available under the [Creative Commons Attribution-ShareAlike License 3.0](https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attri…) and its conditions, as well as to ask others to check whether there's more situations like this one. It's worth noting how wrong this is to minoritised language Wikipedias: not only the legal issue itself, but also the lack of legitimate clicks and views that we end up losing, the confusion and misunderstandings from the readers that think this is a win by Google (the example I shared, with both screenshots enclosed), and even a subsequent chicken-and-egg situation that can lead to deleted articles by some users thinking that the content was stolen from Google and not actually the opposite.
I remember that there was a previous thread here, not so long ago, about the problems of Google taking over our data and therefore diminishing clicks to the Wikimedia projects. Considering that I am fully against the GAFAM-drift that the WMF is increasingly adopting by benefiting from Google in our human, economical and digital structures, I prefer to share it here as well -and not only to the legal team of the WMF (cced).
Kind regards,
Xavier Dengra
Dear Wikimedians,
I'm delighted to invite you to episode 15 of WikiAfrica Hour, titled
*Wikimedians
In Residence*.
The session is focused on shining light on the marriage between Wikimedia
and some host organisations and its members who are interested in a
productive relationship with the encyclopedia and its community.
To make the experience a fun and memorable one, we have invited the
following guest speakers:
1. Bobby Shabangu - WiR, United Nations Development Programme,South
Africa
2. Florence Devouard - WiR, World Intellectual Property Organization
(WIPO)
3. Nicolas Vigneron - WiR, Clermont Auvergne University
4. Alice Kibombo - WiR, African Library and Information Associations
(AfLIA)
5. Daniel Obiokeke - WiR, The Africa Narrative
Date: 2nd September 2022
Time: 4pm UTC
Details: https://w.wiki/5dft <https://t.co/Z5FogXbr5l>
Regards,
Ceslause Ogbonnaya
*Host,WikiAfrica Hour *
Dear all,
The Africa Knowledge Initiative (AKI) working group is happy to announce a
call for applications for Implementing partners for the various campaigns
in the project
<https://diff.wikimedia.org/2022/08/04/africa-knowledge-initiative-welcomes-…>
.
The Implementing partners will be responsible for organizing a campaign in
one of these African Union Holidays:
- Africa Youth Day – Nov 1, 2022
- Environment/Wangari Maathai Day – Mar 3, 2023
- Africa Day – May 25, 2023
Interested organizations, affiliates (user groups/chapters) and groups are
welcome to submit applications via this application form
<https://docs.google.com/forms/d/e/1FAIpQLSfyaySvNhTPF-F0WvwMdRHIUcWGgyYAtDc…>
.
*Minimum Requirements*
- Must be an organization, affiliate (user groups or chapters) or a group
- Experience organizing international campaigns
- Experience organizing around the topical area of interest
- Must be in good standing with the grants system/affcom requirements at
the WMF
*NB:* Only shortlisted applicants will be contacted.
*Application deadline is 4th September 2022*.
Enquiries about the application or the Africa Knowledge Initiative (AKI)
project should be sent to campaigns(a)wikimedia.org.
Regards,
Ceslause Ogbonnaya
*Wikimedian In Residence, Africa Knowledge Initiative (AKI)*
Chers Wikimédien.ne.s,
Le groupe de travail Africa Knowledge Initiative (AKI) est heureux
d'annoncer un appel à candidatures pour les partenaires d'exécution des
différentes campagnes du projet
<https://diff.wikimedia.org/2022/08/04/africa-knowledge-initiative-welcomes-…>
.
Les partenaires d'exécution seront responsables de l'organisation d'une
campagne dans l'un de ces jours fériés de l'Union Africaine:
- Journée de jeunesse africaine – 1er novembre 2022
- Journée d'environnement/Wangari Maathai - 3 mars 2023
- Journée d'Afrique – 25 mai 2023
Les organisations intéressées, les affiliés (groupes
d'utilisateurs/chapitres) et les groupes sont invités à soumettre des
candidatures via ce formulaire de candidature
<https://docs.google.com/forms/d/e/1FAIpQLSfyaySvNhTPF-F0WvwMdRHIUcWGgyYAtDc…>
.
*Exigences minimales*
- Doit être une organisation, une affilié (groupes d'utilisateurs ou
chapitres) ou un groupe
- Expérience dans l'organisation de campagnes internationales
- Expérience d'organisation autour du domaine d'intérêt
- Doit être en règle avec les exigences du système de subventions /
d’Affcom à la Fondation Wikimedia
*NOTEZ:* Seuls les candidats présélectionnés seront contactés.
*La date limite de candidature est le 4 septembre 2022*.
Les demandes de renseignements sur la candidature ou le projet Africa
Knowledge Initiative (AKI) doivent être envoyées à campagnes(a)wikimedia.org.
Cordialement,
Ceslause Ogbonnaya
*Wikimédien en R**é**sidence, Africa Knowledge Initiative (AKI)*
Hi,
Tomorrow at the HOPE 2022 conference, I'm giving a talk titled, "How to
Run a Top-10 Website, Publicly and Transparently", discussing the impact
of transparency in Wikimedia's technical spaces. A number of people have
expressed interest in watching, including non-technical users, so I'm
advertising it a bit more broadly.
I apologize for the short notice, I didn't realize the stream would be
free to watch until yesterday (thanks Ori!).
Time: 2022-07-23 17:00 UTC (1pm ET) -
https://zonestamp.toolforge.org/1658595637
Stream: https://hope.net/416dac.html
If you can't watch it live, a recording will be uploaded later on.
I've documented all of this on-wiki, including the full abstract:
<https://meta.wikimedia.org/wiki/User:Legoktm/HOPE_2022>.
I am of course happy to answer any questions people might have after the
talk!
Thanks,
-- Kunal / Legoktm
Versão em português abaixo ↓
Version française ci-dessous ↓
(Español)
Convocatoria abierta para Comité regional Latinoamérica y el Caribe (LAC)
El equipo de Recursos comunitarios de la Fundación Wikimedia y el Comité
regional de financiación de Latinoamérica y el Caribe (LAC)
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/es#C…>
invitan a enviar sus candidaturas para formar parte del comité en la
región de Latinoamérica y el Caribe (LAC). Los Comités regionales de
financiación <https://meta.wikimedia.org/wiki/Grants:Committees/es-419>
apoyan la práctica participativa de los programas de financiación
<https://meta.wikimedia.org/wiki/Grants:Start/es> de la Fundación
Wikimedia. La fecha límite para aplicar es el 7 de septiembre de 2022.
¿Cuáles son las funciones y responsabilidades del comité?
El Comité LAC revisa las propuestas de financiación de los afiliados y
otros miembros de la comunidad dentro de la región de Latinoamérica y el
Caribe que buscan fondos de la Fundación Wikimedia. Las responsabilidades
del Comité incluyen:
-
Contribuir como aliados del pensamiento estratégico para ayudar a los
candidatos y fortalecer sus estrategias y propuestas.
-
Evaluar y recomendar propuestas de financiación prometedoras.
-
Ayudar difundir y captar solicitantes para obtener financiación.
¿Por qué te puede interesar formar parte del comité LAC?
Todos los nuevos miembros recibirán orientación y formación y serán parte
de una comunidad regional de activistas por la cultura libre y el
conocimiento abierto. Estas personas tendrán la oportunidad de asesorar en
las decisiones de financiación y compartir proactivamente recomendaciones y
tutorías para apoyar a los socios beneficiarios de la región de
Latinoamérica y el Caribe en sus estrategias de desarrollo, crecimiento y
sostenibilidad; que contribuyan a un mundo en el que todos los seres
humanos puedan compartir libremente la suma de todos los conocimientos.
También se fortalecerá tu capacidad en los procesos de toma de decisiones
participativas mientras aprendes sobre el increíble trabajo de nuestra
comunidad y los diferentes contextos que influyen en su trabajo.
-
Haz clic aquí para leer más sobre la convocatoria abierta de miembros
del Comité LAC
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/LAC_…>incluídos
los requisitos de elegibilidad, las funciones y responsabilidades, nuestro
enfoque para el otorgamiento de financiaciones y más.
-
Haz clic aquí para leer más sobre todos los Comités Regionales de
Financiación. <https://meta.wikimedia.org/wiki/Grants:Committees/es-419>
-
Haz clic para leer sobre el actual Comité LAC específicamente.
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/es>
-
Haz clic aquí para presentar su candidatura al comité LAC.
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/LAC_…>
Fecha límite para presentar la candidatura al comité:
-
7 de septiembre de 2022
Por favor, contacta con lac_fund(a)wikimedia.org si tienes preguntas sobre
las candidaturas al Comité LAC.
Saludos cordiales,
El Comité regional de financiación de LAC y Mercedes Caso, Oficial de
Programa para fondos de la Fundación Wikimedia en la región de América
Latina y el Caribe
------------------------------
(Português)
Chamada aberta ao Comitê Regional para a América Latina e o Caribe (LAC)
A equipe de Recursos Comunitários da Wikimedia Foundation e o Comitê
Regional de Financiamento da América Latina e Caribe (LAC)
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/es%2…>
convidam os candidatos a membros do comitê na região da América Latina e
Caribe (LAC). Os Comitês Regionais de Financiamento
<https://meta.wikimedia.org/wiki/Grants:Committees/es-419> apóiam a prática
participativa dos programas de financiamento
<https://meta.wikimedia.org/wiki/Grants:Start/es> da Wikimedia Foundation.
A data limite para a aplicação é 7 de setembro de 2022.
Quais são as funções e responsabilidades do comitê?
O Comitê LAC analisa propostas de financiamento de afiliados e outros
membros da comunidade dentro da região da América Latina e Caribe em busca
de fundos da Wikimedia Foundation. As responsabilidades do Comitê incluem:
-
Contribuir como aliados do pensamento estratégico para ajudar os
candidatos e fortalecer suas estratégias e propostas.
-
Avaliar e recomendar propostas de financiamento promissoras.
-
Ajudar a divulgar e atrair candidatos para financiamento.
Por que você estaria interessado em fazer parte do comitê da ALC?
Todos os novos membros receberão orientação e treinamento e farão parte de
uma comunidade regional de cultura livre e ativistas do conhecimento
aberto. Estes indivíduos terão a oportunidade de aconselhar sobre decisões
de financiamento e compartilhar proativamente recomendações e tutoria para
apoiar os parceiros beneficiários na região da América Latina e Caribe em
suas estratégias de desenvolvimento, crescimento e sustentabilidade;
contribuindo para um mundo onde todos os seres humanos possam compartilhar
livremente a soma de todo o conhecimento. Você também fortalecerá sua
capacidade nos processos decisórios participativos enquanto aprende sobre o
incrível trabalho de nossa comunidade e os diferentes contextos que
influenciam seu trabalho.
-
Clique aqui para ler mais sobre a chamada aberta aos membros do Comitê
LAC,
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/LAC_…>
incluindo requisitos de elegibilidade, funções e responsabilidades, nossa
abordagem para a concessão de subsídios e muito mais.
-
Clique aqui para ler mais sobre todos os Comitês Regionais de
Financiamento. <https://meta.wikimedia.org/wiki/Grants:Committees/pt-br>
-
Clique para ler sobre o atual Comitê LAC especificamente.
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/pt-br>
-
Clique aqui para se candidatar ao comitê LAC.
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/LAC_…>
Data limite para apresentar a candidatura ao comitê:
-
7 de setembro de 2022
Favor contatar lac_fund(a)wikimedia.org se você tiver dúvidas sobre as
nomeações para o Comitê LAC.
Cordiais cumprimentos,
O Comitê Regional de Financiamento da ALC e Mercedes Caso, oficial do
programa da financiamento da Wikimedia Foundation na região da ALC
------------------------------
(Français)
Appel ouvert pour le comité régional d'Amérique latine et des Caraïbes (ALC)
L'équipe des ressources communautaires de la Wikimedia Foundation et le comité
régional de financement pour l'Amérique latine et les Caraïbes (ALC)
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/fr>
lancent un appel à candidatures pour devenir membre du comité pour la
région Amérique latine et Caraïbes (ALC). Les comités régionaux de
financement soutiennent la pratique participative des programmes de
financement <https://meta.wikimedia.org/wiki/Grants:Start/fr>de la
Wikimedia Foundation. La date limite de dépôt des candidatures est fixée au
7 septembre 2022.
Quels sont les rôles et les responsabilités du comité ?
Le comité ALC examine les propositions de financement des affiliés et
autres membres de la communauté de la région Amérique latine et Caraïbes
qui sollicitent des fonds auprès de la Wikimedia Foundation. Les
responsabilités du Comité comprennent :
-
Contribuer en tant qu'alliés de la réflexion stratégique pour aider les
candidats et renforcer leurs stratégies et propositions.
-
Évaluer et recommander des propositions de financement prometteuses.
-
Contribuer à la diffusion et à attirer des candidats pour le financement.
Pourquoi seriez-vous intéressé à rejoindre le comité de ALC ?
Tous les nouveaux membres recevront une orientation et une formation et
feront partie d'une communauté régionale de militants de la culture libre
et de la connaissance ouverte. Ces personnes auront l'occasion de donner
des conseils sur les décisions de financement et de partager de manière
proactive des recommandations et un encadrement pour soutenir les
partenaires bénéficiaires de subventions dans la région Amérique latine et
Caraïbes dans leurs stratégies de développement, de croissance et de
durabilité ; contribuant ainsi à un monde où tous les êtres humains peuvent
partager librement la somme de toutes les connaissances. Vous renforcerez
également vos capacités en matière de processus décisionnels participatifs
tout en découvrant l'incroyable travail de notre communauté et les
différents contextes qui influencent son action.
-
Cliquez ici pour en savoir plus sur l'appel ouvert aux membres du comité
de l'ALC
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/LAC_…>,
y compris les conditions d'éligibilité, les rôles et les responsabilités,
notre approche de l'octroi de subventions et plus encore.
-
Cliquez ici pour en savoir plus sur les comités régionaux de financement.
<https://meta.wikimedia.org/wiki/Grants:Committees/fr>
-
Cliquez pour en savoir plus sur le comité ALC actuel, notamment.
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/fr>
-
Cliquez ici pour poser votre candidature au comité ALC.
<https://meta.wikimedia.org/wiki/Grants:Regions/LATAM_and_The_Caribbean/LAC_…>
Date limite de dépôt de la candidature auprès de la commission :
-
7 septembre 2022
Veuillez contacter lac_fund(a)wikimedia.org si vous avez des questions sur
les nominations du comité LAC.
Cordialement,
Le comité de financement de la région ALC et Mercedes Caso, officier de
programme du programme de financement de la Fondation Wikimedia dans la
région ALC.
_______________________________________________
Please note: all replies sent to this mailing list will be immediately directed to Wikimedia-l, the public mailing list of the Wikimedia community. For more information about Wikimedia-l:
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