Here are a few updates from the Wikidata development team.
You can find the *development updates of 2022* on this page:
This page will give you an overview of the outcomes of the various
development goals of last year, both for Wikidata as a platform and the
You can find the *development plan for 2023* on this page:
https://www.wikidata.org/wiki/Wikidata:Development_plan This page gives you
an overview of the main goals of the development team, and the activities
we plan to run in the first part of the year (updates will be added
throughout the year).
If you have any *questions or feedback*, feel free to use the related talk
On behalf of Mohammed that will soon be back and will follow up on this
Community Engagement & Events Consultant
Contractor for Wikimedia Deutschland e.V.
*(apologies for cross-posting)*
The Wikidata+Wikibase office hours
<https://www.wikidata.org/wiki/Wikidata:Events#Office_hours> for Q2 will be
held on Wednesday, April 19th 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 teampresents 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.
*Community Communications Manager, Wikidata*
Wikimedia Deutschland e. V. | Tempelhofer Ufer 23-24 | 10963 Berlin
Phone: +49 (0) 30 577 116 2466
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
Imagine a world in which every single human being can freely share in the
sum of all knowledge. Help us to achieve our vision!
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.
The next Research Showcase, with the theme of Images on Wikipedia, will be
live-streamed Wednesday, April 19, at 16:30 UTC. Find your local time here
YouTube stream: https://www.youtube.com/watch?v=vW0waU-QArU
You can join the conversation on IRC at #wikimedia-research or on the
This month's presentations:
A large scale study of reader interactions with images on WikipediaBy *Daniele
Rama, University of Turin*Wikipedia is the largest source of free
encyclopedic knowledge and one of the most visited sites on the Web. To
increase reader understanding of the article, Wikipedia editors add images
within the text of the article’s body. However, despite their widespread
usage on web platforms and the huge volume of visual content on Wikipedia,
little is known about the importance of images in the context of free
knowledge environments. To bridge this gap, we collect data about English
Wikipedia reader interactions with images during one month and perform the
first large-scale analysis of how interactions with images happen on
Wikipedia. First, we quantify the overall engagement with images, finding
that one in 29 pageviews results in a click on at least one image, one
order of magnitude higher than interactions with other types of article
content. Second, we study what factors associate with image engagement and
observe that clicks on images occur more often in shorter articles and
articles about visual arts or transports and biographies of less well-known
people. Third, we look at interactions with Wikipedia article previews and
find that images help support reader information need when navigating
through the site, especially for more popular pages. The findings in this
study deepen our understanding of the role of images for free knowledge and
provide a guide for Wikipedia editors and web user communities to enrich
the world’s largest source of encyclopedic knowledge.
Visual gender biases in Wikipediaː A systematic evaluation across the ten
most spoken languagesBy *Pablo Beytia, Catholic University of Chile*The
existing research suggests a significant gender gap in Wikipedia
biographical articles, with a minimal representation of women and gender
asymmetries in the textual content. However, the visual aspects of this gap
(e.g., image volume and quality) have received little attention. This study
examined asymmetries between women's and men's biographies, exploring
written and visual content across the ten most widely spoken languages. The
cross-lingual analysis reveals that (1) the most salient male biases appear
when editors select which personalities should have a Wikipedia page, (2)
the trends in written and visual content are dissimilar, (3) male
biographies tend to have more images across languages, and (4) female
biographies have better visual quality on average. The open database of
this study provides eight indicators of gender asymmetries in ten
occupational domains and ten languages. That information allows for a
granular view of gender biases, as well as exploring more macroscopic
phenomena, such as the similarity between Wikipedia versions according to
their gender bias structures.
Beytía, P., Agarwal, P., Redi, M., & Singh, V. K. (2022). Visual Gender
Biases in Wikipedia: A Systematic Evaluation across the Ten Most Spoken
Languages. Proceedings of the International AAAI Conference on Web and
Social Media, 16(1), 43-54. https://doi.org/10.1609/icwsm.v16i1.19271https://ojs.aaai.org/index.php/ICWSM/article/view/19271Beytía, P. & Wagner,
C. (2022). Visibility layers: a framework for systematizing the gender gap
in Wikipedia content. Internet Policy Review, 11(1).
You can watch our past Research Showcases here:
Hope you can join us!
Emily Lescak (she / her)
Senior Research Community Officer
The Wikimedia Foundation
I am writing to inquire about how to contribute to the Wikidata project. I
have been exploring the site and I am fascinated by the wealth of
information available. I have some experience with data entry and I believe
I could be a valuable contributor.
As I was browsing the site, I came across a page that was particularly
helpful in understanding how to get started: the Wikidata Help Portal (
https://www.wikidata.org/wiki/Help:Contents). This page answered many of my
initial questions, but I still have a few more.
Could someone point me in the direction of a tutorial or guide on how to
create new items in Wikidata?
Thank you for your time and consideration.
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