Hello,
Last week, we announced that a limited release of the “default values for
all languages” feature—introducing the language code "mul" for labels and
aliases—will soon be coming to Wikidata. We are currently working on
improvements for “mul” in the Termbox on Item pages. We’ve already received
feedback from some of you on the discussion pages, but we’d also love to
hear from those who prefer to *provide* *anonymous feedback*.
Please share your thoughts on this 5-10 minute anonymous survey until
August 4: https://wikimedia.sslsurvey.de/Wikidata-default-values-feedback
If you have any questions or concerns feel free to let us know in this
Phabricator ticket (phab:T356169 <https://phabricator.wikimedia.org/T356169>
)
Many thanks for your time.
-Mohammed
On Mon, Jul 22, 2024 at 10:03 AM Mohammed Sadat Abdulai <
mohammed.abdulai(a)wikimedia.de> wrote:
> *(This [SIGNIFICANT Change Announcement] is relevant for all Wikidata
> users working with Labels and Aliases.)*
>
> Hello,
>
> You may recall our previous announcement
> <https://lists.wikimedia.org/hyperkitty/list/wikidata@lists.wikimedia.org/me…>
> inviting you to test out the “default values for all languages” feature,
> introducing the language code "mul" for labels and aliases, on
> https://test.wikidata.org. I'm pleased to announce that we are now
> proceeding with a limited release on Wikidata. This feature will be
> available for testing starting July 29.
>
> Note of Caution and Tips for Testing
>
>
> -
>
> To try out the new feature during this limited release, you need to
> add the language code “mul” to your Babel boxes
> <https://www.wikidata.org/wiki/Wikidata:Userboxes#Babel>. A full
> release will follow on the week of August 12, displaying default values to
> everyone by default.
> -
>
> Please refrain from starting any Bot-runs for mul during the limited
> release. We will use this limited release to test the performance and
> verify that everything works as planned. Bot-runs for mul should only
> commence after the full feature is released.
> -
>
> Please also test the help page
> <https://www.wikidata.org/wiki/Help:Default_values_for_labels_and_aliases>
> explaining how to use the feature. It will be important to get this help
> page right, as the full release will initially contain an onboarding
> element that guides people to this help page.
>
>
> I would like to thank everyone who has participated in the previous
> testing phases or provided feedback thus far. We are eager to hear more
> from you during this limited release. Please do not hesitate to reach out
> with questions or concerns on the talk page of the Help page
> <https://www.wikidata.org/wiki/Help_talk:Default_values_for_labels_and_alias…>,
> or for technical details, in this Phabricator ticket (phab:T356169
> <https://phabricator.wikimedia.org/T356169>)
>
> There has also been some discussion on the help page
> <https://www.wikidata.org/wiki/Help_talk:Default_values_for_labels_and_alias…>
> regarding the copy used for the language. We would like to reach a
> consensus before the full release. Join the discussion to add your thoughts
> and input on the thread. This week, a survey will be included in the Weekly
> Summary for those who prefer to provide anonymous feedback.
>
> Cheers!
>
>
> -Mohammed
>
> On Mon, Feb 12, 2024 at 9:00 AM Mohammed Sadat Abdulai <
> mohammed.abdulai(a)wikimedia.de> wrote:
>
>> (This announcement is relevant for all Wikidata users working with Labels
>> and Aliases.)
>>
>>
>> Hello,
>>
>> We're excited to invite you to participate in the community testing of
>> the “default values for labels and aliases” feature. Based on a
>> long-standing community request around language fallback (T285156
>> <https://phabricator.wikimedia.org/T285156>), and based on your feedback
>> from our previous announcement
>> <https://lists.wikimedia.org/hyperkitty/list/wikidata@lists.wikimedia.org/me…>,
>> we are currently testing this feature on https://test.wikidata.org
>> <https://test.wikidata.org/wiki/Q42> with the release planned for Q1
>> 2024.
>>
>> What is coming?
>>
>> 1.
>>
>> Default values for labels and aliases (mul): Items that repeat the
>> same label and aliases over and over are hard to maintain and can strain
>> our infrastructure, especially the Wikidata Query Service. As a solution,
>> we are introducing the option for default values in the termbox. The
>> default values are considered in the language fallback chain (language code
>> “mul”).
>>
>>
>>
>> 2.
>>
>> Visualisation of the language fallback chain: Previously, Wikidata’s
>> fallback chain was not visible in the user interface, making it challenging
>> to determine if additional information was needed. As a first step toward
>> improvement, we will now clearly show what content is already available via
>> language fallback in the placeholders for labels (including default values).
>>
>>
>> We need your feedback
>>
>> Please leave your feedback on Help talk:Default values for labels and
>> aliases
>> <https://www.wikidata.org/w/index.php?title=Help_talk:Default_values_for_lab…>.
>> Your feedback will play a crucial role in verifying if the current version
>> is ready for Wikidata. Additionally, you can find some test Items, known
>> limitations and open questions there for you to review. We will analyze
>> your feedback one week after today's announcement.
>>
>> The next steps
>>
>> After you have left your feedback, please make sure that the guidelines
>> on Help:Default values for labels and aliases
>> <https://www.wikidata.org/wiki/Help:Default_values_for_labels_and_aliases>
>> are ready for the launch. You can also already plan bot-runs for mul,
>> but please be sure to start with uncontroversial cases. If there are no
>> blockers, we will then prepare a limited release on Wikidata in the
>> coming weeks. The limited release will only be visible if you put mul in
>> your Babel boxes. We will use this limited release to test the performance
>> and verify that everything works as planned. Please don’t start any
>> bot-runs for mul during the limited release. A full release will follow
>> a few weeks later, displaying default values for everyone by default, and
>> featuring an onboarding element that will guide people to the help page.
>> Bot-runs for mul can commence at this stage.
>>
>> Do not hesitate to reach out with questions or concerns in the talk page
>> of the help page
>> <https://www.wikidata.org/wiki/Help_talk:Default_values_for_labels_and_alias…>
>> and for technical details in this Phabricator ticket (T356169
>> <https://phabricator.wikimedia.org/T356169>).
>>
>>
>> Thank you for your support!
>>
>> Cheers,
>> --
>> Mohammed Sadat Abdulai
>> *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.
>>
>> A lot is happening around Wikidata - Keep up to date!
>> <https://www.wikidata.org/wiki/Wikidata:Status_updates> 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 Charlottenburg, VR 23855 B.
>> Als gemeinnützig anerkannt durch das Finanzamt für Körperschaften I Berlin,
>> Steuernummer 27/029/42207. Geschäftsführende Vorstände: Franziska Heine,
>> Dr. Christian Humborg
>>
>
Hi All,
As anticipated at the PCC Virtual Participants meeting<https://www.loc.gov/aba/pcc/documents/EMCO.pdf> on February 15, the Program for Cooperative Cataloging is launching a new Entity Management Cooperative (EMCO)<https://wiki.lyrasis.org/display/PFCCP/EMCO> program in 2025.
EMCO is designed to function in parallel with the NACO and SACO programs. There are many more entities in our bibliographic data than are currently receiving entries in the LCNAF. Identifiers are vital to support discovery in linked data environments and the PCC envisions EMCO<https://wiki.lyrasis.org/display/PFCCP/EMCO> as being an alternative for creating and maintaining entity identifiers in a linked data environment.
All individuals are invited to participate in the EMCO Early Adopters Phase<https://wiki.lyrasis.org/display/PFCCP/Early+Adopters+Phase>, regardless of their institutional affiliation with the Program for Cooperative Cataloging (PCC). If you would like to be a part of EMCO at this "Early Adopters" phase, particularly if you previously participated in the PCC's ISNI or Wikidata pilots, we invite you to let us know by filling out a brief form at https://forms.gle/fPpjXfUNEJ5jtpro9 by Friday, January 17, 2025.
If you have questions not covered in the EMCO Wiki<https://wiki.lyrasis.org/display/PFCCP/EMCO>, please let us know<https://docs.google.com/forms/d/1-ZEPzFiHG8xFei3W9xdCPW56k7fEC1Qco___2v3dG0…>.
On Behalf of the PCC Identity Management Advisory Committee (IMAC),
Crystal Yragui, MLIS
she/her<https://homosaurus.org/v3/homoit0001692>
Co-Chair, IMAC
Co-Interim Head, Metadata & Cataloging Initiatives Unit
Metadata Librarian
Cataloging and Metadata Services Department
University of Washington Libraries
Seattle, WA 98195
cec23(a)uw.edu<mailto:cec23@uw.edu>
https://github.com/CECSpecialistIhttps://namedrop.io/crystalyragui
Normal Hours:
Mondays: off
Tuesdays: 7am-7pm Pacific
Wednesdays: 7am-7pm Pacific (remote)
Thursdays: 7am-7pm Pacific
Fridays: off
Weekends: 4 hours (variable)
Hello all!
The Search Platform Team usually holds an open meeting on the first
Wednesday of each month. Since this month would have been January 1st,
we're moving to January 8 instead. 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, January 8, 2025
Time: 16:00-17:00 UTC / 08:00 PDT / 11:00 EDT / 17:00 CET
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/>
Hi everyone,
Wiki Workshop, the largest Wikimedia research event of the year now in its
12th edition, will take place as a standalone virtual event on May 21-22,
2025 [1]. <https://wikiworkshop.org/2024/>
The call for papers for the workshop is now open [2]: We would like to
invite you to submit your 2-page extended abstracts. All submissions are
non-archival, which means you can submit ongoing, completed, and already
published works. See below for the full call.
Deadline for submission is March 9, 2025 (23:59 AoE).
If you have questions about the workshop, please don't hesitate to reach
out to us at wikiworkshop(a)googlegroups.com
Best,
Martin, on behalf of the organizers
[1] https://meta.wikimedia.org/wiki/Wiki_Workshop_2025
[2] https://meta.wikimedia.org/wiki/Wiki_Workshop_2025/Call_for_Papers
---
Call for papers
Workshop PC Chairs:
Martin Gerlach (Wikimedia Foundation)
Matthew Vetter (Indiana University of Pennsylvania)
We invite contributions to the Research Track of the 12th edition of Wiki
Workshop, which will take place virtually on May 21-22, 2025 as a 2-day
standalone event.
The Wiki Workshop is the largest Wikimedia research event of the year,
aimed at bringing together researchers who study all aspects of Wikimedia
projects (including, but not limited to, Wikipedia, Wikidata, Wikimedia
Commons, Wikisource, and Wiktionary) as well as Wikimedia developers,
affiliate organizations, and volunteer editors. Co-organized by the
Wikimedia Foundation’s Research team and members of the Wikimedia research
community, the workshop provides a direct pathway for exchanging ideas
between the organizations that serve Wikimedia projects and the researchers
actively studying them.
Building on the successful experiences of organizing Wiki Workshop in 2015
<https://wikiworkshop.org/2015>, 2016 <https://wikiworkshop.org/2016>, 2017
<https://wikiworkshop.org/2017>, 2018 <https://wikiworkshop.org/2018>, 2019
<https://wikiworkshop.org/2019>, 2020 <https://wikiworkshop.org/2020>, 2021
<https://wikiworkshop.org/2021>, 2022 <https://wikiworkshop.org/2022>, 2023
<https://wikiworkshop.org/2023>, 2024 <https://wikiworkshop.org/2024/> and
based on feedback from authors and participants over the years, this year’s
Research Track is organized as follows:
-
Submissions are non-archival, meaning we welcome ongoing, completed, and
already published work.
-
We accept submissions in the form of 2-page extended abstracts.
-
Authors of accepted abstracts will be invited to present their research
in a pre-recorded oral presentation, with dedicated time for live Q&A on
the days of the event.
-
Accepted abstracts will be shared on the website prior to the event.
Important Dates
-
Submission deadline: March 9, 2025 (23:59 AoE
<https://en.wikipedia.org/wiki/Anywhere_on_Earth>)
-
Author notification: April 14, 2025
-
Final version due: April 30, 2025 (23:59 AoE
<https://en.wikipedia.org/wiki/Anywhere_on_Earth>)
-
Workshop date: May 21-22, 2025
Submission Instructions
Similar to previous editions, this year’s Wiki Workshop solicits extended
abstracts (PDF format, maximum 2 pages). Submissions that exceed the 2-page
limit will be automatically rejected. Authors may include 1 additional page
containing references, figures, and/or tables (including captions) only.
Initial submissions require names and affiliations of authors, 5 keywords,
a title, an abstract, and a main text outlining the contribution, methods,
findings, and impact of the work, whichever is relevant. Submissions will
be non-archival and, as a result, may have already been published, under
review, or ongoing research. All submissions will be reviewed by multiple
members of the Wiki Workshop Program Committee. The names of the authors
will be revealed to the reviewers, whereas reviewers will remain anonymous
to the authors.
Please review our Privacy Statement
<https://foundation.wikimedia.org/wiki/Legal:Wiki_Workshop_Privacy_Statement>
before submitting your abstract to OpenReview.
-
Template for submissions
<https://gitlab.wikimedia.org/repos/research/wikiworkshop-templates>
-
Submission site
<https://openreview.net/group?id=wikimedia.org/Wiki_Workshop/2025/Research_T…>
on OpenReview
Topics
Wiki Workshop aims to have a broad technical program inclusive of many
academic fields and disciplines. Topics include, but are not limited to:
-
Use of bots, algorithms, and crowdsourcing methods for content curation,
sourcing, or verification of content and structured data;
-
Innovative uses of Wikipedia and other Wikimedia projects for AI and NLP
applications;
-
Approaches to develop AI-assisted workflows to support editors in
content moderation, patrolling, and maintenance;
-
Community health questions including sentiment analysis, harassment
detection, and tools that enhance community harmony;
-
Dynamics of participation, including activation, retention, and
attrition of various Wikimedia users and audiences;
-
Strategies and models to engage new editors through improvements to
onboarding experience;
-
Understanding the motivations, engagement models, incentives, and needs
of Wikimedia editors, readers, and developers of Wikimedia projects;
-
Approaches to discussions, consensus-building, and conflict resolution
in editorial decision-making;
-
Investigation in content bias and knowledge gaps, and strategies for
addressing them on Wikimedia projects;
-
Examination of content reuse dynamics within and beyond Wikimedia
projects;
-
New technologies and initiatives to grow content, quality, equity,
diversity, and participation across Wikimedia projects;
-
Innovative use of AI models to support editors in identifying and
automating repetitive tasks that could be easily automated (such as
copyediting);
-
Techniques for detecting low-quality, promotional, or fake content
(misinformation or disinformation), and identifying fake accounts or bad
actors (e.g., sock puppets);
-
Exploration of diverse source incorporation into Wikimedia projects,
such as oral histories, video, and others;
-
Understanding and improving the representation of “local content”
(geography, cultural context, or history) relevant to different communities;
-
Multilingual and multimodal analysis of Wikimedia projects;
-
Strategies for leveraging Wikimedia projects in media literacy
interventions;
-
Impact assessments of Wikimedia-based educational initiatives;
-
Policies, guidelines, and norms influencing the governance of Wikimedia
projects;
-
Privacy, security, and trust related to content creation, maintenance,
and consumption;
-
Understanding peer production mechanisms of Wikimedia projects;
-
The interplay between Wikimedia projects and the broader (open)
knowledge ecosystem including interactions with other online platforms;
-
Innovative uses of Wikimedia projects as indicators for real-world
events, cultural trends, technological or scientific advancements, and
beyond;
-
Open-source research code, datasets, and tools supporting
Wikimedia-related research.
--
Martin Gerlach (he/him) | Senior Research Scientist | Wikimedia Foundation
Hello everyone,
As a reminder, we're welcoming *proposals for the Data Reuse Days
<https://www.wikidata.org/wiki/Event:Data_Reuse_Days_2025> online event
until January 12th*. On the talk page
<https://www.wikidata.org/wiki/Event_talk:Data_Reuse_Days_2025> you can
already see a few interesting proposals from the Wikidata community and
reusers.
We're especially looking for short presentations/demos of *tools using
Wikidata's data*, in areas such as GLAM, civic tech, AI and LLMs, services
and games.
If you have any questions or doubts before publishing a proposal, feel free
to reach out to me.
Best,
--
Léa Lacroix
Community Engagement & Events Consultant
Contractor for Wikimedia Deutschland e.V.