Readers of The Signpost may have heard in this space nearly a year ago that Smallbones, our Editor-in-Chief since 2019, planned to step down from the position and resume being a regular member of the writing and editorial staff. As Smallbones put it then, the Editor-in-Chief carries out the following critical functions:
The Signpost staff anticipate this to be a smooth process and will continue to provide you, our readers, with the content about which you have provided us much positive comments and constructive feedback. However, the process is overdue, and Smallbones has reiterated a desire to be replaced in the next few months at the latest. We have begun to discuss how to make this transition, beginning by building a list of contributors for the past two years with whom we would like to reach consensus concerning who may be best suited to lead us as Smallbones' successor. If you think you are that person and you want to talk to Smallbones, he has invited you to discuss it with him here.
The 2022 Russian invasion of Ukraine resulted in an uptick of AN/I reports for related disruption, as well as arbitration enforcement activity in the Eastern Europe sanctions area. A variety of reports and suggestions were filed, regarding POV-pushers, incivility from some new users, and other misguided activity. Since the invasion began only a few days ago, developments are ongoing. The article covering the invasion was selected for In the news on 23 February 2022; it had over 2 million pageviews on 24 February, and again on 25 February. The parent article, Russo-Ukrainian War, also had over a million pageviews on 24 February, dropping slightly the following day. – B, E
The 2022 Steward elections ended on 26 February. The global Wikimedia community elected 5 candidates representing the diversity of our Movement. The Signpost congratulates AntiCompositeNumber, BRPever, Hasley, TheresNoTime and Vermont, the newly elected Stewards, and thanks the Elections Committee for their hard work. – E
The Community Development team at the Wikimedia Foundation proposes to support the creation of a global, community-driven Leadership Development Task Force. The purpose of the task force is to advise leadership development work by the Community Development team as well as in broader community initiatives in the near term, pending any future changes of direction coming from the Movement Charter and Global Council currently being formed. The applications for the Task force will open on 1 March 2022. Interested editors are invited to participate on Meta. – E
The fourth rendition of Wiki Loves Folklore began on 1 February 2022 and will end on 15 March 2022 (UTC). The contest is dedicated to celebrating the unique and rich traditions and culture that make up the world's unique and diverse heritage. The winners of the contest will be announced on Commons on July 25, 2022. Wiki Loves Folklore was extended 15 days after the original end date of 28 February 2022. – E
As reported in a special report in The Signpost last month ("WikiEd course leads to Twitter harassment"), things went very wrong in December 2021 in a class supported by Wiki Education's Wikipedia Student Program. I came away from the ensuing discussion understanding that there's a gap between what we do and the community's understanding of what we do. Our program is the single largest outreach effort in the Wikimedia community. In 2021 we brought over 12,000 student editors to Wikipedia, who added over 9.6 million words to 12,000 existing articles and created 1,000 new articles.
It's human nature to make judgements based on extreme cases, both good and bad. And once we’ve found these patterns, confirmation bias does the rest. If you only come across outstanding student work — the student who revamps a mess into a high quality summary, or the student who creates a new article — you come away thinking students' work is exceptional. And when you read about the kind of incident stemming from our program that was highlighted in January's Signpost, you can get the impression that the results of student editing are (as one editor said in the discussion) "decisively mixed". My experience, as a Wikipedian since 2004 who supports the 12,000+ student editors writing on Wikipedia each year through Wiki Education’s programs, is different. I see almost everything students do.
I'm writing this as User:Guettarda, a longtime contributor to English Wikipedia. But I'm also writing this as User:Ian (Wiki Ed), the Senior Wikipedia Expert at Wiki Education. Wiki Education is a US-based nonprofit bridging the gap between Wikipedia and academia. Our biggest program, the Wikipedia Student Program, supports 12,000+ student editors a year, all of whom attend a higher education institution in the United States or Canada.
Our organization has its origins in an effort to increase the pool of Wikipedia contributors, and to improve article quality. This project has grown from an initial 18-month pilot in 2010, involving 24 universities and over 800 students, into our current program: in Fall 2021 we supported 5,972 student editors, who contributed 4.7 million words to over 6,400 articles. Since 2010, more than 102,000 students have added 85 million words to 116,000 articles. Our program is the single largest outreach effort in the Wikimedia community by count of new editors recruited, articles edited, and content added. Moreover, almost all of this content passes Wikimedia editorial review and remains in Wikipedia.
Both in terms of bringing in new editors, and in terms of bringing in high quality content, Wiki Education has been very successful.
In the course of normal editing, you encounter the work of our student editors quite regularly. They create new articles about minerals. They expand existing articles about environmental science. They write about music of the world, and African archaeology, and poetry. They write about deafness in various countries. Wiki Education's courses cover nearly every discipline taught in higher education. Our program for university partnerships is one of the Wikimedia movement's biggest success stories for a way to systematically improve content areas.
Students add a lot of scholarly citations to Wikipedia. A 2020 paper by researchers Jiro Kikkawa, Masao Takaku, and Fuyuki Yoshikane reported that in 2016 15.5% of the editors who added scholarly citations to English Wikipedia articles were participants in Wiki Education-supported programs. Citations matter because they're the way Wikipedia articles achieve credibility despite being written by pseudonymous editors. And thanks to university libraries, students have easy access to a wealth of scholarly work that might be difficult for most readers (and many Wikipedia editors) to get access to.
In 2016, students in George Waldbusser's Biogeochemical Earth class transformed a redirect into an article about the Boring Billion, an approximately billion-year period in the Earth's history where very little happened. In 2020, another Wikipedian took the raw material that the students had created and converted it into the Good Article that exists today. It's impossible to say whether they would have created this article from scratch if they didn't have the student work to improve.
But the idea that student work creates an impetus for article improvement is consistent with what Kai Zhu, Dylan Walker and Lev Muchnik found in their 2020 study of the impacts of student editing. Using data from Wiki Education's Dashboard, they were able to trace the fate of 3,300 articles that were edited by students in Fall 2016, and compare them with a control group that students hadn't touched. It turned out that after the students had finished editing, the articles they worked on had 12% more page views than the control set. This also translated into more page views downstream, in the articles linked from these ones, and more edits from other Wikipedians. As I wrote in a 2020 blog post:
Because students tend not to stick around beyond the duration of their class, it's easy to think of their impacts as one-off. But instructors do tend to stick around, and over the course of many classes, an instructor can make a real impact on a topic area.
Since 2013, Erik Herzog has included the Wikipedia assignment in his chronobiology class, which runs every other Spring. When chronobiologists Jeffrey C. Hall, Michael Rosbash, and Michael W. Young were awarded the 2017 Nobel Prize in Physiology or Medicine, the world rushed to Wikipedia to discover who these people were. And Wikipedia's biographies of these three scientists existed, for the most part, because of the work that was done by students in these classes.
Similarly, since 2012 Joan Strassmann's behavioral ecology classes have added well over 1.8 million words to Wikipedia in articles about bees, wasps, spiders, and flies. Her sister Diana Strassmann's classes have added over 1.3 million words to Wikipedia, primarily in the areas of poverty, justice and human capability. Last term they created two new articles: Medical racism in the United States and Anti-Apartheid movement in the United States. Other students successfully contributed to articles like Discrimination based on skin color and Racial disparities in the COVID-19 pandemic in the United States. Past classes have made edits like this one to the Discrimination against drug addicts article and this one to the Mental health and immigration detention article. Both classes have had students stick around after the end of the class to take their work through the Good Article process.
As of 2020, Wiki Education brings in 19% of new active editors on the English Wikipedia. Student editors in programs supported by Wiki Education make up about 3% of all active editors on the English Wikipedia. In other words, the interactions you had with a student editor, or the work you read (good or bad), isn't necessarily representative of the whole, just as an interaction with any editor isn’t representative of the community as a whole. The scale at which our program operates is massive.
The community has long been aware of the issue of systemic bias in Wikipedia, and the fact that this is a problem that is exacerbated by the composition of the community. According to WMF's survey data, only 0.5% of Wikipedia editors in the US are Black or African American, while 8% of our student editors identify as Black or African American. Only 5.2% of editors in the US are Hispanic, while 12% of our students are. And while only 22% of Wikipedia contributors are women, 67% of our student editors identify as women (and another 3% identify as non-binary or other).
The relatively narrow demographic base of our contributors is part of the reason why large areas of content are under-represented. The issue of the coverage of women on Wikipedia is quite well known, but this is also true for members of minoritized groups and for areas in the Global South. Even within the United States, the contributions of students from an Appalachian State University class on The History of Coal were eye-opening to me: it was apparent from their writing (and from the emails I exchanged with some of them) that they had a familiarity with this topic that most editors lack. In particular, their creation of the Broad form deed article filled an important lacuna in Wikipedia's coverage, but one that may not jump out at you if you don’t live in an area where strip-mining regularly occurred on land occupied by people who only owned the surface rights.
Adding contributors who are outside of the normal demographics of Wikipedia contributors may not be able to fix the problem of systemic bias that stems from what McDowell and Vetter have called Wikipedia’s "logocentric reliance on written knowledge", but it is a valuable part of the community’s overall toolkit to improve this problem.
How do you support 6,000 students at once without creating a massive free-for-all where students are struggling, failing, and generally taxing the resources of the community? And, it’s worth asking, are we doing that?
Our model involves supporting instructors in higher education in the United States and Canada who take their students through the "Wikipedia assignment". After going through an online orientation, our Assignment Design Wizard takes instructors through a process that uses their input to create a timeline for the class. The instructor then submits their course page for approval. My colleague Helaine Blumenthal goes through each submission, and makes sure that they are suitable. Since instructors can customize the timelines, Helaine ensures that the key components are all there, and that the class is following our best practices developed since 2010.
Students create a Wikipedia account and sign up on the Wiki Education Dashboard After this, students are prompted to take several training modules and go through a series of exercises. After this, students begin the process of drafting an article. This involves selecting a few candidate articles (students are encouraged to select stub- or start-class articles, and stay away from GAs and FAs). Once they've narrowed their choices down to one topic, the Dashboard takes them through a step-by-step process in which they build a bibliography, draft their contribution, peer-review one-another’s work, and finally move their work to mainspace.
People being people, problems occur. The Dashboard monitors a lot of what students do, and sends a whole range of alerts. If students are behind on the trainings, the Dashboard will email the instructor and ask them to remind their students to get up to date. If students assign themselves FAs or GAs, the Dashboard emails them and their instructors and strongly encourages them to pick a more suitable article. If they assign themselves an article subject to discretionary sanctions, I am notified. If they edit GAs or FAs, I am notified. If they move their sandbox to mainspace, I am notified. And most importantly, if their work is flagged as a potential copyvio, I get notified (as do their instructors). These are just some of the things we do; we’re constantly looking for new and better ways to monitor student work, and to catch problems before they become problems. Also, the help of community members who flag me when things go wrong is immensely helpful.
Beyond this, students are encouraged to get in touch if they have questions or run into problems. We provide multiple ways for them to get in touch, either on-wiki or through the Dashboard. We also encourage instructors to get in touch with us, to ask questions and to relay student questions. In addition, the Dashboard lets me monitor classes and check in on what students in any class are up to. We have things set up to pay additional attention to classes working in areas where they may run into problems. This system enables us to head off potential problems, intervene early where we can, and be notified when something goes wrong. Of course, things do go wrong sometimes — and these are usually the ones you hear about — but for the vast majority of the 12,000+ students editing every year, things go well, and Wikipedia gets high-quality information added.
As an individual, I can't imagine anything I do would have a bigger impact on the world than my contributions to Wikipedia. Health permitting, I might be able to contribute to Wikipedia for another 30 years. But every term working with student editors I make an impact that’s orders of magnitude greater than what I can do on my own. Working with student editors allows me to help add content that would otherwise take decades to be added. This is why what we're doing matters to me.
On December 28, 2021, Samuel Lafont, the head of digital operations for far-right French presidential candidate Eric Zemmour, revealed to Le Parisien that a group of Zemmour supporters were editing the French Wikipedia. Freelance journalist Vincent Bresson had already infiltrated Zemmour's campaign, and had been monitoring the "WikiZedia" group led by Lafont since early November. French Wikipedian Jules*, also the lead author of this article, had taken the first steps toward helping Bresson follow the edits more closely and documenting the effects of the WikiZedia cell.
Zemmour is a candidate in the presidential election to be held on April 10 (with a second round, if needed, held on April 24). Opinion polls currently put him in third or fourth place behind President Emmanuel Macron and far-right candidate Marine Le Pen. He is roughly tied with the rightwing Valérie Pécresse.[1] Zemmour is also a conservative television commentator by trade. He's been convicted of hate speech three times, and his platform centers on "immigration zero". He is proud to have received the encouragement of former United States President Donald Trump over other right-wing candidates.[2]
On December 21, a journalist and one of the publishers at Éditions Goutte d'Or contacted Jules* through an experienced Wikipedian. The publisher wanted to meet about "a political team that coordinates to direct several Wikipedia pages about its candidate and circumvent the rules of the encyclopedia", which he was investigating with Bresson (the author of the book). He first questioned Jules* about the operation of Wikipedia, then described a team of about ten people, headed by a lieutenant of the candidate, whose aim was to surreptitiously promote its candidate on Wikipedia. He did not name the candidate – or, until later, the investigating journalist.
"By the end of the meeting, it was clear that I could help the author and his editors better analyze the contributions of the members of the WikiZedia team." Beyond the public interest, Jules* had a Wikipedian interest: he had an opportunity to access otherwise inaccessible information, to protect Wikipedia from political manipulation. The conditions for this collaboration were as follows: Jules* promised to keep the information secret in order to protect the author of the investigation, who was infiltrating the group, and to refrain from intervening on Wikipedia against the members of the group until the book was published. "My essential condition for helping the journalist was to be able to transparently detail everything to the community after the investigation – they accepted it."[3]
The WikiZedia cell did not meet in person, but only through overlapping discussion groups on Telegram and Discord. The Telegram group had about 10 members, and the Discord group about 8, for a total of around a dozen members.
According to the book At the Heart of Z by Bresson. The Discord channel gave the following goals for the group:
The goal of the mission is to make Éric Zemmour, Generation Z and Les Amis d'Éric Zemmour as visible as possible on Wikipedia, in several ways :
- by referencing Éric Zemmour's page from as many pages as possible (for example by giving Éric Zemmour's opinion on various pages "Éolienne"…);
- by listing his television/radio appearances on dedicated pages in the event that he is a columnist/host, by mentioning him on the page of the said program if he is invited;
- by improving Éric Zemmour's page in order to redirect people to our lists from the previous point (so that people can listen to him on this or that subject).
This was followed by the names of articles to be edited.
The book editors regularly gave Jules* copies of the discussions of the cell. A cell leader who did not edit Wikipedia, identified only by the name "Grand Chef" in the meetings, was apparently Samuel Lafont, one of the leaders of Zemmour's campaign. Another important member of the cell had extensive experience editing Wikipedia. He identified himself to other WikiZedians as User:Cheep. Jules* later wrote:
When I saw Cheep's username on the list, I was flabbergasted. Reading the Telegram discussions shows his duplicity: his approach was not at all encyclopedic. It was just like the other members of the cell, except that it is less surprising from single purpose accounts or accounts with around 2,000 contributions than from a Wikipedian active since 2008 with more than 160,000 contributions.
A series of Cheep's edits to the article on Zemmour beginning on December 3 resulted in an edit war, edits hidden by administrators, and very nearly got Cheep a short-term block. He added photos to the article of the two main Vichy leaders with the caption "Philippe Pétain and Pierre Laval, whose responsibility in the Holocaust in France is subject to debate". While the caption corresponds to Zemmour's view, it contradicts the broad consensus of historians who consider Pétain and Laval to have been Nazi collaborators in the Holocaust, and traitors to France.
The many other edits by Cheep which pushed Zemmour’s point of view include:
These edits and many others from the WikiZedia cell are documented here, in French. Other WikiZedians edited the targeted articles, but not as successfully as Cheep did.
On February 17 author Vincent Bresson published his book Au Coeur de Z (At the Heart of Z) and Jules* made an on-Wiki announcement of his findings. These were discussed on the French Wikipedia, at the Bulletin des administrateurs (here, with notes here), and Le Bistro here. They were also discussed on the English Wikipedia, at the village pump (here), and AN/I (here).
Several news articles were also published, including:
Seven editors, including Cheep, were banned on the French Wikipedia.[3] 60 of the 68 French admins !voted to ban the seven editors. Only eight admins preferred the less serious penalty of indefinitely blocking the offenders. Cheep was indefinitely blocked on the English Wikipedia.
There have always been biased edits to Wikipedia articles made by politicians, and by almost all political parties. But the WikiZedia cell shows how far biased political editing has come. This is the first known instance of a party organizing a secret cell to influence Wikipedia articles, and the first time that the operations of such a cell have been so thoroughly documented and connected to top party officials.
The cell made many edits which were contrary to a neutral point of view taking a non-encyclopedic approach, and concealing their intentions. Their results were ultimately fairly poor, their organization too clumsy and inefficient. Wikipedia's method of vetting edits, given enough time, more or less worked – thanks to the vigilance of volunteer Wikipedians. We can only imagine what could happen if we faced a better organized cell.
The duplicity of Cheep is especially hurtful. Mutual trust is needed in a collaborative encyclopedia: it can't function without editors being able to assume good faith. The cell edited in violation of the spirit and the letter of core principles such as the neutral point of view, civility, and Wikipedia being an encyclopedia. Beyond the members of this organized cell, there have been other POV-pushers and single purpose accounts supporting Zemmour. Some have already been blocked, some have not. Organized attempts at political influence may continue, despite the revelations made so far.
It was not an isolated individual who tried to manipulate Wikipedia, but a political party supporting a person who is running for one of the most important positions in all of the democratic countries of the world. Wikipedians must remain vigilant.
It's been a news-filled month for the UK House of Commons and Wikipedia. On 4 February, the Independent reported (subscription required) that Michael Gove's "leveling-up" plan plagiarised Wikipedia and contained many errors – including spelling mistakes and entire paragraphs that were repeated. Four days later, Debbie Hayton writing in UnHerd said that an editor battle over the biography of British MP Tonia Antoniazzi is "instructive of how a small group of activist editors can manipulate information to service their agenda". On 23 February, the New Statesman wrote that the Wikipedia pages for two MPs were whitewashed: a section about Bob Blackman's connections to Azerbaijan was removed from his article, and a section in the Gillian Keegan article related to the Post Office scandal was removed. Both removals were made from IP addresses tracing back to the Palace of Westminster. Neither Blackman nor Keegan could be reached by New Statesman for comment. – E, S
The Wikimedia Foundation's new project titled Wiki Unseen was reported on by Hyperallergic and jamaicans.com. The WMF launched the project on February 9 during Black History Month to amplify the voices of "the people who have shaped the world, but were systematically erased from knowledge spaces". The project pays artists for portraits of historical figures where no freely licensed illustrations are available. – E
ESPN reported on vandalism in Wikipedia sports articles. Matt Hamilton is given as an in-depth example. His article briefly contained colorful vandalism, among them that "curling is not a sport", that Hamilton had donated to charities supporting irritable bowel syndrome because he suffered from it himself, and that he was a long-lost relative of Nintendo's Super Mario Bros., a viper, and a cougar hunter. The story applauded vandalism fighters, including Earl Andrew. Hamilton's article is currently pending changes protected. The ESPN article is well-written and its analysis is interesting. But sooner or later, we should all recognize that the best journalism about vandalism is no journalism about vandalism. Criticism just encourages the vandals. – E, S
BolaVIP reports that Danish center-back Mads Fenger lost a chance for playing for Belgian soccer team Zulte Waregem because Wikipedia misstated his height as 186 cm (6 feet 1 inch), rather than the actual 183 cm (6 feet 0 inches). "The transfer failed due to Wikipedia." With such a small difference, it's important to get the details right. Until it was changed on January 24, Wikipedia reported that Fenger stood at 185 cm, not 186 cm. If anybody is to blame for Fenger not getting the job, it's Zulte Waregem, for making the decision based on such a trivial detail. Or perhaps the fault lies with Fenger, who may not have stood up straight during the measurement. More likely, the fault lies with BolaVIP, which preferred to take a cheap shot at Wikipedia without checking the facts. – S
The Fall 2021 Introduction to Gender, Women, and Sexuality Studies (GWSS) class at the University of Minnesota Morris is another class that joined the over 500 universities that have been creating content for Wikipedia through the Wiki Education program since 2013. The class of 24 students contributed in unique ways, adding 12,000 words and 57 references to articles that had received 37,000 views as of the end of the semester in December. New articles included Lissa Yellow Bird-Chase, the founder of Sahnish Scouts, a citizen-led organization dedicated to finding justice for missing people and their families. – E
The Verge featured an independent interview with Molly White (GorillaWarfare onwiki), known for her Request for Comment on Meta to stop cryptocurrency donations to the Wikimedia Foundation. The interview covered White's Web 3 Is Going Just Great, launched on December 14th, and her views on cryptocurrency, NFTs, DAOs and Wikipedia. – E
After countless articles already existing about Wikipedia rabbit holes, Mashable is at it again with another story. This one suggests exploring List of common misconceptions, Military marine mammal, COINTELPRO and more. Have fun descending deeper and deeper into the depths of the wiki. – E
On Valentine's Day Input reprinted these 2008 photos from the High five article which go viral every so often. Input tells you everything you'd ever want to know about the photos, including the uploader's real name and profession. Not to worry, though – the uploader has posted his profession, first name and family name on-Wiki. – B, E
"The first casualty when war comes is truth" is a well-known quote. It is sometimes attributed to Hiram Johnson but probably older than this quote by Johnson from 1929: “The first casualty when war comes is truth and whenever an individual nation seeks to coerce by force of arms another, it always acts, and insists that it acts in self-defense" (Locomotive Engineers Journal, February 1929, p. 109). Does that remind anyone of a recent war?
Here we present a tour of war photography. We start in Crimea in 1855 and end it in Kyiv, about 550 miles to the north, about 165 years later. This tour makes stops in the United States in the 1860s, Europe in the 1930s and 1940s, and Vietnam in the 1970s.
The Crimean War (1853-1856) was a war in which Russia lost to an alliance of France, England, the Ottoman Empire and Piedmont-Sardinia. The image of that war is largely captured by drawings and paintings (Charge of the Light Brigade), but there were also photographers wandering around, notably Roger Fenton. (Perhaps I should use the words "driving around", because as shown below, camera equipment in those days required a vehicle to transport.) Fenton didn’t capture the cruelties of war, but gave a lively picture of the environment of the Crimean War.
Probably the first real war photographs were made by Mathew Brady in the American Civil War, around 1862. His bloody photographs paint a horrific image of the reality of war.
Wars produce iconic photographs. Robert Capa will be mainly remembered for his photos of the Spanish Civil War (The Falling Soldier, 1936), but he also made photographs during World War II in Germany. War photographs can also be used as a weapon: the weapon of propaganda. It is well known that governments always try to prevent photographs of war scenes and body bags from being widely circulated. These photos influence public opinion. Joseph Goebbels, Hitler’s propaganda chief, used photographs to effectively work the minds of the German people.
The opinion of the American people on the Vietnam War was heavily influenced by photos – think of the Execution of Nguyễn Văn Lém, a photo by Eddie Adams of the Saigon execution in 1969, or the picture by Nick Ut of children hit by napalm attacks in 1972.
The Russian invasion of Ukraine began less than a week ago. Wikipedia is the encyclopedia that anyone can edit, and consequently, anyone in Ukraine with pictures to share can upload them to Wikipedia. Look carefully, and keep in mind that photographs are used to gain influence. So far, only a few photos have been uploaded to Wikimedia Commons. The Wikipedia editing event for Ukraine's Cultural Diplomacy Month 2022 was still being supported by the organizers as of February 24. While the event's call is for text editing, anyone who wants to join current editorial discussions about Ukraine – whether for current events or any other part of society – can talk to editors on the talk page there. Be aware that the discussion may be difficult.
The Wikimedia Foundation established the Community Tech team in 2015 as a product team devoted to building features and making changes that active Wikimedia contributors need the most. Rather than those on the team coming up with their own ideas and proposing them to the community, the team decided to let the community tell us what to work on. To do this, they invited the community to participate in a cross-project survey to set our agenda for the year. This consisted of two weeks for contributors to propose ideas, followed by two weeks of support voting.
325 proposals were submitted to the 2022 survey, with 1578 editors contributing 9554 support votes, producing a ranked list of 270 ideas. Community Tech committed to investigating and addressing the as many as it gets in light of the results of the prioritization process and external factors [they] can't change
— designing and building new tools themselves, or collaborating with other teams and volunteers who were working in those areas.
Out of the top 10 winning proposals, Community Tech has completed two of them (copy-pasting from diffs, and disambiguation link warnings), and is currently working on one, leaving 7 that are incomplete. Some community members expressed concerns that the 2022 Survey would yield the same result, with wishes having long delays in implementation. Community Tech responded, pointing to their prioritization method and policy of research[ing] projects before committing to them.
With the 2021 Survey, the Team picked 4 wishes to implement and publicly declined one. More details are available on Meta.
The Editing team at the Wikimedia Foundation has been hard at work developing tools for the talk pages project. As of 18 February, the Reply Tool is available to everyone (logged in and out) on desktop at all Wikimedia wikis except for fi.wiki (T297533), and ru.wiki (T297410). The Reply Tool is planned to be turned on at the English Wikipedia for all editors using the desktop interface on 7 March 2022 (Phabricator task). Registered editors are welcome to opt-in to the final testing period and provide any feedback, ask questions, or report issues to the Talk Pages project team in the discussion at the project talk page. Additionally, the team is working on introducing functionality that will alert you, in real-time, when someone posts a new comment in the discussion you are using the Reply Tool within. Instructions for how to try the prototype and share feedback about it can be found here. You can see the full list of what talk pages project features are available at what wikis by visiting the MediaWiki wiki.
After many feature requests for a dark mode gadget, one has been created in December 2021. It is based on the work of Wikimedia Design team members Volker E. and Alex Hollender, supported by volunteer MusikAnimal and others. To enable the gadget, go to your gadget preferences, and enable the gadget "Dark mode toggle: Enable a toggle for using a light text on dark background color scheme". The tool has been criticized for its completely black background color with a white foreground causing eye strain for some. More details can be found here. Happy darkness!
Bots that have been approved for operations after a successful BRFA will be listed here for informational purposes. No other approval action is required for these bots. Recently approved requests can be found here (edit), while old requests can be found in the archives.
Bot Name | Status | Created | Last editor | Date/Time | Last BAG editor | Date/Time |
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WOSlinkerBot 21 (T|C|B|F) | Open | 2022-02-18, 20:10:24 | WOSlinker | 2022-02-24, 13:24:16 | Never edited by BAG | n/a |
AssumptionBot (T|C|B|F) | On hold | 2022-02-16, 11:35:09 | AssumeGoodWraith | 2022-02-25, 05:09:33 | Primefac | 2022-02-16, 12:52:58 |
Gaelan Bot 2 (T|C|B|F) | Open | 2022-02-07, 12:07:35 | Thryduulf | 2022-02-23, 10:53:33 | Anomie | 2022-02-07, 12:48:29 |
DoggoBot 5 (T|C|B|F) | Open | 2022-02-03, 18:34:44 | Dicklyon | 2022-02-26, 03:56:10 | Primefac | 2022-02-22, 08:26:21 |
ZabesBot (T|C|B|F) | On hold | 2022-01-15, 22:43:07 | Primefac | 2022-02-16, 12:39:30 | Primefac | 2022-02-16, 12:39:30 |
ElliBot (T|C|B|F) | On hold | 2021-01-23, 14:46:12 | Heanor | 2022-02-08, 18:20:15 | ProcrastinatingReader | 2021-11-08, 01:07:48 |
BareRefBot (T|C|B|F) | Extended trial | 2022-01-20, 21:37:46 | Rlink2 | 2022-02-26, 05:22:06 | Primefac | 2022-02-13, 14:35:48 |
Dušan Kreheľ (bot) (T|C|B|F) | Trial complete | 2021-12-05, 11:52:27 | Dušan Kreheľ | 2022-02-20, 01:45:03 | ProcrastinatingReader | 2022-01-30, 23:45:52 |
Qwerfjkl (bot) 7 (T|C|B|F) | Trial complete: BAG assistance requested! | 2022-02-11, 10:49:11 | Qwerfjkl | 2022-02-23, 18:32:05 | Primefac | 2022-02-16, 12:31:41 |
BattyBot 65 (T|C|B|F) | Trial complete | 2022-01-31, 20:57:15 | GoingBatty | 2022-02-16, 15:55:04 | Primefac | 2022-02-16, 14:54:36 |
IndentBot (T|C|B|F) | Trial complete: Inconsistent categories/tags! | 2021-10-15, 03:20:20 | Theleekycauldron | 2022-02-13, 10:10:45 | Primefac | 2022-01-23, 15:11:18 |
Latest tech news from the Wikimedia technical community: 2022 #9, #8, & #7. Please tell other users about these changes. Not all changes will affect you. Translations are available on Meta.
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The Teahouse is a forum where editors can inquire on their editing struggles, and is a crucial component to our welcoming and editor retention initiatives. From helping newcomers to advertising WikiProjects, this project has many impacts. How are these goals achieved, and what do the hosts think about the Teahouse itself? To answer that, we interview a diverse group of hosts at the Teahouse, from Cullen328 who has been at the project almost since day one and stalwarted earliest development, to Celestina007, a new pages patroller, to Panini!, a three-time FA writer, to Qwerfjkl, a bot operator and AWB wizard, to ThadeusOfNazereth, a vandalism fighter.
Interviewer note: This question is optional (like all of the other questions), and some participants might not have chosen to answer this question for various reasons (e.g. privacy and outing).
[[Door (song)|]]
). It's great to have a bunch of hosts actively present, so minds can be put together to give all sorts of new information, especially moments when multiple users guide a newcomer through a process.Thank you so much to the wonderfully diverse group of hosts who participated, and to you, the reader. This interview broke a record in terms of the number of respondents; 10 editors contributed and shared their insight, a wonderful coincidence with the 10th Teahouse anniversary. If you would like to participate in a future interview, or have any comments, please feel free to post them below. Happy March!
Featured Content is back, and here to stay! The editors of The Signpost regret that the past year were not covered. Please review the archives of Goings-on or various other logs to see that content.
A whopping 29 featured articles were promoted this period; almost one for every day in this period.
30 featured pictures were promoted this period, with a fantastic mix of historical restorations, modern photography, and cross-nominations from Wikimedia Commons.
No featured topics were promoted this period.
12 featured lists were promoted this period.
Last month, you got a very serious and well-written deletion report. This month, well — I've been busy with some stuff, so you're getting a deletion report.
Remember that massive village pump discussion about the sports notability guidelines, which was covered in length in last month's deletion report? Well, it's still going. It was 400,000 bytes then, and it's 800,000 now, so who knows what we'll be looking at by March. Maybe it'll have increased again to 1,200,000, doubled again to 1,600,000, or ed again to 3,200,000. Or maybe it's a factorial, and the entire world's industrial output will become subordinated to manufacturing storage media to host discussion of the sports notability guidelines. It's anyone's game right now. Bottom of the ninth. Triple overtime. Thirteenth subproposal. Let's go for the gold!
A monthly overview of recent academic research about Wikipedia and other Wikimedia projects, also published as the Wikimedia Research Newsletter.
In a study titled "Emotions in Wikipedia: the role of intended negative events in the expression of sadness and anger in online peer production",[1] four Germany-based researchers (three among them from the field of psychology) argue that while "Wikipedia explicitly strives to provide objective and neutral information in unbiased language [, ...] Wikipedia articles might still contain subtle expressions of emotions from the experiences of their authors."
Specifically, the authors
"... analysed N = 330 [English] Wikipedia articles with automatic linguistic text analyses and found that Wikipedia articles on man-made attacks (e.g. terrorist attacks, shooting rampages) contained more anger-related content than Wikipedia articles on man-made disasters (e.g. ship accidents, train accidents) and natural disasters (e.g. hurricanes, flooding) [...]. Wikipedia articles on man-made attacks also contained fewer sadness-related words than articles on natural and man-made disasters [...]. Depending on the kind of negative event, individuals seem to express certain negative emotions in the respective Wikipedia article to a greater extent than others. It seems that these collective emotional expressions are driven by the psychological mechanism of intentional harm that may explain the current findings"
The automated linguistic analysis method is Linguistic Inquiry and Word Count (LIWC), a tool developed in the 1990s by Pennebaker and others. LIWC has been widely used and vetted, but nowadays exists alongside more sophisticated sentiment analysis methods – a fact that the paper's limitations section coyly alludes to. The researchers used LIWC to detect the percentage of an article's words that match "three specific negative emotion categories [...]: sadness (e.g. 'loss', 'sorrow', or 'grief'), anger (e.g. 'offensive', 'brutal', or 'violent'), and anxiety (e.g. 'panic', 'afraid', or 'scared')." They illustrate them with the following examples:
To avoid confounds, the text of references and external links was excluded from this analysis. Also, the authors "did not include the word 'attack' within the anger category or the word 'terror' within the anxiety category in all analyses to avoid the possibility that the topic of the articles could be a confounding factor in our analyses". However, they appear to have made no attempt otherwise to distinguish emotions that are expressed directly in the text (in what editors call "Wikipedia voice") from emotions that are merely reported and attributed to others (such as the scientific community's "fears" in the Hurricane Katrina example, or quoted reactions from politicians etc.).
The authors suggest that online peer production systems such as Wikipedia
"...could design user interfaces in such a way that Internet users are hinted by alerts, for instance, to the fact that they are about to write about a negative event that could potentially produce negative emotions. Although Wikipedia's control system for counteracting potential violations of objectivity and a neutral point of view is already very elaborate and sophisticated, it could potentially benefit from taking emotional aspects into account. It would be possible, for example, to highlight certain emotional passages by the computer system while people are writing a text, so that Wikipedia users are aware of emotional expressions. Other Wikipedia authors, administrators, and bots could flag content that needs correction also with respect to emotional wording."
The paper extends and replicates results from a 2017 publication by the same authors (which had also examined article talk pages, finding that "Surprisingly, Wikipedia articles on those two [types of] events contained more emotional content than related Wikipedia talk pages").
Having "demonstrated that Wikipedia articles on terrorist attacks contained more anger-related content than Wikipedia articles on earthquakes", two of the authors replicate and extend this result by directly measuring the emotional reactions of Wikipedia readers in a more recent study.[2] Specifically,
"... raters rated their emotional reactions during and after reading the content of Wikipedia articles. We conducted two studies, each with a different focus. In Study 1, four raters rated 60 existing Wikipedia articles on earthquakes and terrorist attacks regarding their emotional reactions while reading the articles. As a conceptual extension, in Study 2, 35 participants [all native speakers of German, and 29 of them female] serving as independent raters indicated their emotional reactions after reading four existing Wikipedia articles on earthquakes and terrorist attacks. Moreover, Study 2 used an Asian and a European earthquake as well as an Asian and a European terrorist attack in order to take the geographical proximity of the negative event into account."
The researchers conclude
"... that Wikipedia articles on terrorist attacks elicited more threat, anger, sadness, and anxiety than Wikipedia articles on earthquakes. These effects occurred for negative events in Europe but were absent for events in Asia, with one exception. The anger effect was the same across Europe and Asia. [...] The findings of Study 2 showed that the Wikipedia article on the nearby (i.e., European) terrorist attack elicited more threat appraisal than the Wikipedia article on the nearby earthquake, which was not the case when the negative events happened far away (i.e., in Asia). For the elicitation of anger, however, the geographical proximity of the negative event did not matter."
Other recent publications that could not be covered in time for this issue include the items listed below. Contributions, whether reviewing or summarizing newly published research, are always welcome.
This paper describe the development of a machine learning model used in the "Add a link" task suggestion feature for new Wikipedia editors (deployed by the Wikimedia Foundation's "Growth" team on several language Wikipedias last year). From the abstract:[3]
"...despite Wikipedia editors' efforts to add and maintain its content, the distribution of links remains sparse in many language editions. This paper introduces a machine-in-the-loop entity linking system that can comply with community guidelines for adding a link and aims at increasing link coverage in new pages and wiki-projects with low-resources. To tackle these challenges, we build a context and language agnostic entity linking model that combines data collected from millions of anchors found across wiki-projects, as well as billions of users' reading sessions. We develop an interactive recommendation interface that proposes candidate links to editors who can confirm, reject, or adapt the recommendation with the overall aim of providing a more accessible editing experience for newcomers through structured tasks. Our system's design choices were made in collaboration with members of several language communities. [...] Our experimental results show that our link recommender can achieve a precision above 80% while ensuring a recall of at least 50% across 6 languages covering different sizes, continents, and families."
(See also: research project page on Meta-wiki)
From the paper and abstract:[4]
"We introduce the multilingual Wikipedia hyperlink prediction objective to contextualise words in a text with entities and concepts from an external knowledge source by using Wikipedia articles in up to 100 languages. Hyperlink prediction is a knowledge-rich task designed to (1) inject semantic knowledge from Wikipedia entities and concepts into the MMLM [Multilingual Masked Language Model ] token representations, and (2) [...] to inject explicit language-independent knowledge into a model trained via self-supervised learning [...]. We devise a training procedure where we mask out hyperlinks in Wikipedia articles and train the MMLM to predict the hyperlink identifier similarly to standard MLM but using a 'hyperlink vocabulary of 250k concepts shared across languages [...]"
"In our experiments, we use Wikipedia articles in up to 100 languages and already observe consistent gains compared to strong baselines when predicting entities using only the English Wikipedia."
From the abstract:[5]
This paper presents a new way to increase interconnectivity in small Wikipedias (fewer than a 100,000 articles), by automatically linking articles based on interlanguage links. Many small Wikipedias have many articles with very few links, this is mainly due to the short article length. [...] Due to the fact that Wikipedias are translated in to many languages, it allows us to generate new links for small Wikipedias using the links from a large Wikipedia (more than a 100,000 articles).
From the abstract and paper:[6]
"Here we develop an approach for automatically finding useful hyperlinks to add to a website. We show that passively collected server logs, beyond telling us which existing links are useful, also contain implicit signals indicating which nonexistent links would be useful if they were to be introduced. We leverage these signals to model the future usefulness of yet nonexistent links. Based on our model, we define the problem of link placement under budget constraints and propose an efficient algorithm for solving it. We demonstrate the effectiveness of our approach by evaluating it on Wikipedia [...]"
"in the English Wikipedia, of all the 800,000 links added to the site in February 2015, the majority (66%) were not clicked even a single time in March 2015, and among the rest, most links were clicked only very rarely [...] In a nutshell, simply adding more links does not increase the overall number of clicks taken from a page. Instead, links compete with each other for user attention."
(See also: Research project page on Meta-wiki)
So here's what happened this month.
Additionally, some article probation remedies were abolished:
Three enforcement requests are currently open:
Two clarification requests were opened this month: Non-ARBPIA Western Asia disruption (closed) and Palestine-Israel articles (still open).
There have been a total of 87 enforcement actions logged this month.
How does your birthplace affect your probability of being covered on Wikipedia? Having a Wikipedia page can be a sign of how successful you are in certain aspects of life. We know that the probability of being successful depends on your birthplace. So in this article I look at the probability of having a Wikipedia page depending on your birthplace.
While browsing Wikipedia in French, I was surprised by the number of people born in Neuilly-sur-Seine (Hauts-de-Seine) or in Paris. So I wanted to know if there was an over-representation of people born in these places. I've been looking at place-of-birth data in France. The national statistical institute (Insee) publishes data about the number of people born in each département from 1975 to the present (France is divided into 100 "départements" i.e. districts). Unfortunately, there is no older data available on births by department. This is a hard limit; our dataset is limited to those born after 1975. They are 47 years old or younger in 2022. Some people, of course, may become notable after this age. However this is the best available French data to examine my question of interest.
I collected data about the number of people with a page in Wikipedia in French born in each department using a SPARQL query from Wikidata. I also used data from the Code officiel géographique (the official list of French departments). All my data were collected using a Jupyter notebook written in the R language. The data set is stored in a CSV file.
Comments and feedback are welcome on my Wikidata talk page!
For each department, we have the number of people born in the department with a Wikipedia page over the total number of people born in the department between 1975 and 1990. We compute the probability "per mille" [per thousand] (ie ‰).
Of course interpretation is tricky. This may reflect a real inequality of opportunity to gain success in the real world, or it could be an encyclopedic bias. However, unlike gender bias, it is difficult to imagine reasons why the encyclopedia would be biased towards certain departments. So it probably reflects inequality of opportunities between French departments which drives the results.
I was not surprised to find Paris in the first place. The five departments coming after Paris are much more surprising: Hautes-Alpes, Pyrénées-Atlantiques, Hautes-Pyrénées, Pyrénées-Orientales and Alpes-Maritimes are mountain departments. Further analysis shows that there is a high concentration of rugby players in the South West departments such as Hautes-Pyrénées, Pyrénées-Atlantiques, Pyrénées-Orientales and Haute-Garonne which might explain their ranking. People born in those departments would have a higher probability of having a Wikipedia page because they can become rugby players. In the Hautes-Alpes, we find a high concentration of ice-hockey players. We definitely need further investigation to understand these geographical disparities.
A poster is crucial to the promotion of a film or drama. It is where an artist can truly express the essence of their work. The more visually appealing a poster is, the more audiences it will attract. Many historical posters have become classic works of art due to their accurate representation and memorability. This month's gallery spotlights an array of featured pictures of historical film and drama posters, coming from the United States, Indonesia, and Italy. They are all in the public domain, which shows how great open access is artistically.
Rank | Article | Class | Views | Image | Notes/about |
---|---|---|---|---|---|
1 | Justin Trudeau | 2,338,088 | On January 29, Canadian truckers and their allies—objecting to a vaccine mandate—converged in Canada's capital to protest outside an empty Parliament Hill. The protest isn't Trudeau's only problem this week, as he also came down with COVID-19. | ||
2 | Royal Rumble (2022) | 1,513,219 | Royal Rumbles usually make it onto the list, and this one was no exception. One of WWE's flagship events took place last week, and has brought in the views as usual. | ||
3 | Joe Burrow | 1,426,805 | The NFL has once again brought several quarterbacks onto the list, with the highest being the star quarterback of the Cincinnati Bengals. Burrow led his team to two upset victories and into Super Bowl LVI, ending a 33-year drought. | ||
4 | Rafael Nadal | 1,373,140 | Novak Djokovic refused to get vaccinated and was kicked out of the Australian Open. Hence, his Spanish rival was the one in Melbourne who became the all-time leader in Grand Slam titles with 21. | ||
5 | Pamela Anderson | 1,240,979 | Pam & Tommy started on Hulu, turning Lily James into this 90s sex symbol in the story of how Anderson's marriage to Tommy Lee resulted in a home sex tape being sold online in the early days of the World Wide Web. | ||
6 | Tom Brady | 1,190,882 | Brady's career as a quarterback came to an end on February 1, when he announced he was retiring from the NFL after 22 seasons. To call Brady's career legendary would be an understatement: he is the NFL leader in career quarterback wins, quarterback regular-season wins, quarterback playoff wins, and Super Bowl MVP awards, not to mention holding nearly every major quarterback record. As a New England local who was born shortly after Brady joined the Patriots, his retirement genuinely left me in shock. | ||
7 | All of Us Are Dead | 1,104,235 | South Korea gets another Netflix hit in this show about a high school hit by the zombie apocalypse. | ||
8 | Cheslie Kryst | 1,012,838 | Three years after winning Miss USA 2019 and ending in the Miss Universe Top 10, which led her to a gig on Extra, Cheslie Kryst decided to end her life by jumping off a building at just 30, with her mother revealing she had been hiding her depression from her public life. | ||
9 | Euphoria (American TV series) | 941,042 | The HBO series, which is in the midst of its second season, was renewed for a third season this week. | ||
10 | The Woman in the House Across the Street from the Girl in the Window | 931,640 | That mouthful of a title shows this Netflix show is a parody of The Woman in the Window, The Girl on the Train, and all those other recent "woman thinks she saw a murder" stories. To make sure the joke lands, the whole show is played as serious as possible, no matter how absurd Kristen Bell's character's situation may get. |
Rank | Article | Class | Views | Image | Notes/about |
---|---|---|---|---|---|
1 | Lata Mangeshkar | 3,532,616 | One of the most successful playback singers in history, Mangeshkar had a prolific career spanning seven decades, singing in dozens of languages and recording thousands of songs. She was called the Queen of Melody and the Nightingale of India, and was awarded the Bharat Ratna in 2001. She passed away early this week, at the age of 92. | ||
2 | 2022 Winter Olympics | 1,304,869 | Beijing already hosted the 2008 Summer Olympics, and now got its snowy equivalent. Along with the goddamned pandemic, another thing looming over the event is China's controversial reputation. | ||
3 | Simon Leviev | 1,244,290 | An Israeli conman with multiple theft, forgery and fraud convictions was brought into the spotlight this week by the release of a Netflix true crime documentary about his activities. | ||
4 | Eileen Gu | 1,211,477 | Two competitors at #2. Gu is a Chinese-American skier who decided to compete for the host country, becoming the youngest Olympic champion in freestyle skiing at just 18. White is the most famous snowboarder ever, with three Olympic golds and 19 Winter X Games medals, only finished fourth and announced his retirement from competition at 35. | ||
5 | Shaun White | 1,174,527 | |||
6 | Pamela Anderson | 1,089,899 | Before Kim Kardashian, before Paris Hilton, the already famous Pamela Anderson became even more famous after a private home video was released on the Internet. The story is reenacted in the six-part series Pam & Tommy on Hulu. | ||
7 | Nathan Chen | 1,080,074 | Another #2 competitor, the American figure skater won the men's short competition, becoming the first Asian-American man to win an Olympic gold. | ||
8 | Euphoria (American TV series) | 1,029,557 | In 2012, Israel aired Euphoria, a ten-episode series about teens having a careless life full of sex and drugs. HBO's remake hasn't even finished its second season and has already greenlit a third. | ||
9 | Anna Sorokin | 893,721 | Another day, another subject of a biographical drama streaming television series. Hit-maker Shonda Rhimes churns out another hit series, this time for Netflix called Inventing Anna. Sorokin, who defrauded banks, hotels, and friends while masquerading as a German heiress, is played by Julia Garner (known for her role on Ozark). I've never been a huge fan of these salacious, tabloid-esque "true story" limited series that are all the rage these days, and from what I've heard this one's quite mediocre, so you'd never catch me watching it. | ||
10 | Deaths in 2022 | 863,975 | I turned on the lights, the TV, and the radio Still I can't escape the ghost of you |
Rank | Article | Class | Views | Image | Notes/about |
---|---|---|---|---|---|
1 | Anna Sorokin | 3,759,292 | Even if most of this list was shaped by Super Bowl LVI, the article topping it has no connection to the NFL final. Instead we have Anna Sorokin, a German fraudster convicted of grand larceny and theft of services. Sorokin spent 4 years in New York pretending to be a wealthy heiress, and trying to establish herself as a socialite despite not having the money to maintain the lavish lifestyle she was trying to lead. She was eventually arrested after people started to notice she wasn't paying any of the bills she had accumulated, and ended up in prison. She's on the list because of #3, a dramatization of the period. | ||
2 | Dr. Dre | 1,305,834 | The first of many Super Bowl-related topics on the list, Dr. Dre was one of several performers at this event's halftime show. The show, described as a nostalgia-inducing performance of old-school West Coast hip-hop, received critical acclaim and a higher viewership than the game. | ||
3 | Inventing Anna | 1,193,019 | #1 owes her views to this, a Netflix series (producer Shonda Rimes pictured) about her activity that became the service's top-watched program, despite generally mixed reviews. | ||
4 | Eminem | 1,083,853 | Another performer at the Super Bowl halftime show, a track this artist performed reached the Top 10 in the Spotify streaming chart. | ||
5 | Matthew Stafford | 1,082,400 | The winning quarterback... at the Super Bowl. After 12 seasons with the perennial bottom feeder Detroit Lions, Stafford switched to the Los Angeles Rams this year, which proved a good move as they won the championship after being seeded fourth in the NFC. | ||
6 | Justin Trudeau | 1,015,060 | Well, my commentary from last week aged well. On February 14, the Canadian prime minister controversially invoked the Emergencies Act in response to the Canada convoy protest, the first time this had been done since the act was passed in 1988. | ||
7 | Mary J. Blige | 1,004,235 | Two more performers at the Super Bowl halftime show. | ||
8 | Snoop Dogg | 991,505 | |||
9 | Joe Burrow | 978,747 | The losing quarterback... at the Super Bowl. Burrow made the championship game in his second season as an NFL player, leading the Cincinnati Bengals into the Super Bowl for the first time since 1988. | ||
10 | 2022 Winter Olympics | 973,268 | In other news, the Olympics are still going on. |
We are excited to announce the Core Organizing Team (COT) for Wikimania 2022! This talented group of volunteers from around the world was selected from more than 70 excellent applications. They will work with you over the next six months to organize our annual flagship event, designing a Wikimania that brings our community together and celebrates our movement. They are:
Anton Protsiuk, Antoni Mtavangu, Evelin Heidel, Houcemeddine Turki, Kayode Yussuf, NANöR, Omar David Sandoval Sida, Richard Knipel, Sandra Aceng, and Venus Lui.
Wikimania 2022 will be a virtual main event, with the option for communities across the movement to host in person events where possible. There will be grant funding for these in person events – more information to come.
In the coming weeks, the COT will be inviting your ideas and suggestions on what Wikimania 2022 should look like – what would you like to see more of? What should we keep from last year? What should be different? And of course we’ll need your contribution to the event as volunteers. More to be shared soon and do not hesitate to share your thoughts with us on the Wikimania 2022 discussion page.
Thanks and here's to a great Wikimania 2022!
Anton Protsiuk has been a Ukrainian Wikipedia editor and administrator for almost a decade now, typically devoting his time to administrative and patrolling maintenance tasks, as well as to writing occasional articles. He is also Programs Coordinator at Wikimedia Ukraine, where he is responsible for overseeing the organization’s programmatic activities, including content campaigns, diversity and editor recruitment initiatives, community events, and communications outreach.
Antoni Mtavangu is a Tanzanian Wikimedian, a co-founder of Wikimedia Community User Group Tanzania, campaigns & events organizer, trainer, projects manager, mentor, and one of the Swahili Wikipedia's administrators.
Evelin Heidel is a longtime member of the open knowledge ecosystem, now serving as the Senior Project Manager for Wikimedistas de Uruguay. She's passionate about raising awareness on how open strategies can help us communicate around climate change and environmental issues.
Houcemeddine Turki is a former member of WikiIndaba Steering Committee, a former board member of Wikimedia and Libraries User Group, the Vice-Chair of Wikimedia Tunisia User Group and the Secretary of the Affiliation Committee. He has been involved in the Programme Committee of several Wikimedia conferences such as WikiIndaba Conference (Chair in 2018, Member in 2019 and 2021) and WikiConvention Francophone (Chair in 2021).
Kayode Yussuf is the co-founder of Wikimedia Nigeria Usergroup, African Representative on the Wikimedia 2030 Design team, immediate past chair of the Creative Commons Membership Committee of the Global Network Council and he currently serves as the Country Representative on the Creative Commons Global Network Council. Kayode led the logistics for Wiki Indaba 2019, and served on the logistics team for Wiki Indaba 2021.
NANöR is an active user of Arabic Wiki Projects and Arabic communities, and a member of the Middle East and Africa grant committee. She says: “I believe in teamwork and I'm working to empower females' role in my community.”
Omar David Sandoval Sida is a computer science engineer who likes challenges; he has organized free software events, is a board member of Wikimedia Mexico, and has been co-organizer of Wikimania in 2015 and WikiConference North America 2021.
Richard Knipel comes from Wikimedia New York City, and has been part of the WikiConference North America team since 2014. He also embraces the unconference and the picnic anyone can edit.
Sandra Aceng is a Wikimedian based in Uganda. She is an organizer and contributor to major diversity and writing projects such as Wiki For Human Rights, Wiki For Refugees, and others. In 2021, Sandra was the scholarship lead for Wiki Indaba 2021 Virtual Conference. She is a mentor under WikiVibrance African Youth Month.
Venus Lui has been participating in the Wikimedia Movement for a while (more than ten years) and is interested in Open Education, GLAM, and Opendata.
Hello! Last month, The Signpost hosted a crossword, which can be found here. The answers to previous crosswords can be found at the following link – thank you all for playing! We have a new crossword for this month – once more, all of the answers have something to do with Wikipedia, though the clues may seem unrelated.
This month's answers are taken from Wikipedia's Featured Articles – every correct answer will be the title of one of the articles listed on that page.
You can play the crossword online at this link (recommended) or manually by printing out the image and clues below. Enjoy! Hints may be given in the comments, so scroll cautiously.
Across 4. Winnipeg invaded by Nazis 6. "Say" what? A rorqual? 8. This one's a bust! A painted one! 9. Dieu et mon droit 11. Epstein-Barr, for instance 15. A real kit for virtual guns of the '90s 16. Yours truly, minus 811 18. A Dorking good estate! 20. A lofty even-toed ungulate
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Down 1. Amtrak's zippy 70s stock 2. Home of Aston (not Martin) 3. Pharaoh of the Fifth Dynasty 5. The original punks 7. Bells, at least 23 10. The Greek (Esp.) 12. It blows from all directions 13. Four bases in a three-letter acronym 14. Second from the Sun 15. Easter Island deity in space 17. ABM replaced by Sentinel 19. Orion's foot
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Note: the chronologically next crossword appeared in the 29 May 2022 issue, in the humour column.
On Wikipedia, notability is a test used by editors to decide whether a given topic warrants its own article. This notability how-to guide for mailboxes summarizes consensus reached through discussions and reinforced by established practice, and informs decisions on whether an article about a mailbox or mailbox-related topic should be written, merged, deleted, or further developed. For advice about how to write mailbox articles, see Wikipedia:Manual of Style/Mailboxes and Wikipedia:Mailbox article guideline.
For the purposes of this guide, a mailbox (also known as a letter box) is defined as a receptacle for receiving incoming mail at a private residence or business. A mailbox-related article (MRA) is defined as an article related to mailboxes. A non-mailbox-related article (NMRA) is defined variously as either an article not related to mailboxes or an article related to something that is not mailboxes.
This guide is independent from the other subject-specific notability guidelines, such as WP:NMAIL, WP:NPOBOX, WP:NPOSTOFFICE, etc., and is explicitly listed as an alternative to the general notability guideline. It is possible for a mailbox not to be notable under the provisions of this guide but to be notable in some other way under the general notability guideline or one of the other subject-specific notability guidelines. Conversely, failure to meet either the general notability guideline or other subject-specific notability guidelines is irrelevant if a mailbox is notable under this guide.
Some new editors attempt to create a page for their mailbox as their first article, and these are often nominated for deletion. It takes a lot of work to create an article, so if your mailbox article has been nominated for deletion, this may feel very discouraging. But don't panic just yet—deletion isn't automatic; it's a process. While mailbox articles do sometimes get deleted, and authors of non-notable mailbox articles do sometimes get permanently banned from ever editing or reading Wikipedia again and then defenestrated for good measure, this doesn't always happen.
Maybe your initial reaction was feeling hurt, or even angry. Know that plenty of established users have had their mailbox articles nominated for deletion. People will (or at least will try to) argue objectively about whether or not the mailbox is worthy of being in Wikipedia, so try not to take the deletion discussion personally. Listen to the reasons given in the nomination. Address or refute those reasons as best you can (preferably backed with reliable sources, such as the International Journal of Mailbox Studies), and try to improve the article accordingly. Please note that sources that you received via a mailbox cannot be used to support the notability of that mailbox due to the conflict of interest.