The 2024WikiCup, hosted by usersCwmhiraeth,Epicgenius andFrostly, is entering its final phase, after Round 4 ended on 29 August. A total number of135 users, including thelateVami IV, joined the contest at the start of this year; however, just eight of them have made it to the ultimate showdown. Here are the finalists, ranked from first to last as pertheir scores in the latest round:
Since its creation back in 2007, the WikiCup has strived to "encourage content creation and improvement and make editing on Wikipedia more fun", and this year's edition is no exception: according tothe official data, competitors have so far contributed to 44featured articles, 72featured lists, 385good articles, 94In the News credits, and over 300Did You Know credits; thanks to their efforts, 38 articles were also added tofeatured topics andgood topics.
On behalf ofThe Signpost, we would like to thank the judges and every participant in the 2024 WikiCup, and wish good luck to the eight finalists.
–O

Tens of thousands of freely available sources flagged
4 December 2023
Top scholarly citers, lack of open access references, predicting editor departures
27 March 2022
The Wikipedia SourceWatch
31 March 2019
New guideline for technical collaboration
4 November 2016
Wikimedia Foundation adopts open-access research policy
25 March 2015
As of 18 August, theJournals cited by Wikipedia (JCW) compilation (seepreviousSignpost coverage) nowtracks the number of distinctDOIs present on Wikipedia, and how many are flagged with|doi-access=free. Several of these are automatically tracked and tagged asfree to read by templates and bots (seepreviousSignpost coverage). As of the 1 Augustdump, the compilation kept track of 3.70M citations, of which 2.41M had DOIs. Of the citations that had DOIs, 661,103 were identified as free to read, or about 27.44%.
The17–18 August 2024 update of theCS1/CS2 modules further identified theLeibniz International Proceedings in Informatics (doi prefix10.4230) and theLiving Reviews journal series (doi prefix10.12942) as free-to-read registrants, as well as 11 individual journals that can be identified by the starting pattern of DOIs (like10.1046/j.1365-8711...,10.1093/mnras.., and10.1111/j.1365-2966... for theMonthly Notices of the Royal Astronomical Society). Citation bot will automatically flag those with|doi-access=free when it runs on the article (seeour guide on how to use Citation bot yourself).
If you notice a DOI link that takes you to a free-to-read article that wasn't flagged by the bot, you can flag the citation manually with|doi-access=free. You can also try to useWP:OABOT (seeour guide on how to use OAbot yourself). If you are aware of fully free-to-read journals/publishers that aren't already kept track of by the CS1/CS2 templates (seeCS1/2 FAQ), leave a note atHelp talk:CS1 andUser talk:Citation bot.
Following the 20 August dump, the compilation kept track of 3.72M citations, of which 2.42M had DOIs. Of the citations that had DOIs, 663,976 were identified as free to read, or about 27.46% (up from 27.44%). It took a few days for theserver cache to clear and tracking categories to be populated. I estimate that the 'true' count should have been about 666K, mostly due toMNRAS andMNRAS Letters being identified as free to read.[a]
Related to the JCW update, all CS1/2 templates (like{{cite journal}} and{{citation}}), and the standalone templates{{doi}} and{{doi-inline}}, now support the flagging of free-to-read DOIs with|doi-access=free. The standalone versions, however, are not currently supported by any bot, nor do they have tracking categories.
Thanks toTrappist the monk for their efforts on templates and the identification of free-to-read publishers/journals (I was also involved), as well as the maintainers ofCitation bot,JL-Bot, andOAbot (particularlyAManWithNoPlan,JLaTondre andNemo bis) for facilitating the mass-tagging of free-to-read articles.
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In ablog post, the Wikimedia Foundation provides an overview of several statements it has submitted since last year in response to
[...] governments and international organizations [...] seeking stakeholder feedback about how [AI] policies should be formulated in order to best serve the public interest. [...] The Foundation’s comments have fallen into two categories. Some are directly relevant to the work being done by volunteer Wikipedia editors around the world, such as on copyright and openness of foundational AI models. Others applied our values and the valuable lessons we have learned from our AI/ML work to benefit public interest projects focused on free knowledge and the online information ecosystem—i.e., decentralized community-led decision-making, privacy, stakeholder inclusion, and internet commons.
— "AI for the people: How machines can help humans improve Wikipedia" (Wikimedia Foundation)
For example, in aresponse to the US Copyright Office's Request for Comments on AI and Copyright, the Foundation states that it "generally supports uses of Wikipedia content for purposes including AI model development", but (as summarized in the blog post) argues that
At a minimum, AI developers who include Wikipedia in the training data used to create large language models (LLMs) should publicly acknowledge that use and give credit to Wikipedia and the volunteer editors who made this rich source of raw materials for LLMs.
At the same time, the Foundation's statement indicates that this attribution might not always be legally required, depending on whether courts decide that the unauthorized use of copyrighted content in training of such AI models is covered byfair use (in which case the attribution requirements of Wikipedia'sCC BY-SA 4.0 license would be moot). The Foundation refrains from taking a categorical position on this legal question: "Based on our analysis, we do not believe that training AI models should either be categorically fair use or categorically not fair use. Rather, the particulars of the training process and the way courts view the purposes of a use should inform whether a particular training process is fair or not." The analysis does however offer some detailed if speculative observations on how courts might evaluate thefour fair use factors in this context. For example, it is argued that because "the vastness of the datasets used in training mean that any single copy [of a copyrighted work] is barely a drop in the ocean of the whole", judges may want to focus on "the extent to which a work is weighted in the development of a model": "Hypothetically, if a copyright protected work was manually weighted to have an outsized impact in model development, then one could argue that although the uses of other full works may be fair, the amplification of one particular work in the training set is not." (Various LLMs are known to have weighted Wikipedia more highly than other parts of their training dataset, for exampleGPT-3.)
On the other hand, the Wikimedia Foundation's statement also urged the Copyright Office to take not only the perspective of copyright owners into account, but also that of the users of copyrighted works and of AI-based tools – noting that "The Foundation is somewhat uniquely positioned as both the host of a primary source of training material for generative AI and a user of many AI and ML tools that aid human editors with the creation of free knowledge." In particular, it cautions to keep public interest in mind in possible future changes to copyright laws and AI regulations, e.g.
On the use of data, specifically, we encourage regulators and legislators to align their approaches with existing models, such as the European Union’s inclusion of anexemption for text and data mining in the Directive on Copyright in the Digital Single Market, that enable public interest research and other beneficial uses of protected works.
[...] we encourage the Office to consider the potential impacts that changes to copyright law could have on competition among AI developers. If copyright law changes are enacted such that the acquisition and use of training materials becomes more expensive or difficult, there is a risk that dominant firms with greater resources will become further entrenched while smaller companies, including nonprofit organizations, struggle to keep up with mounting development costs.
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Chosen by communities, selected by affiliates, and appointed by the WMF, the Movement Charter Drafting Committee (MCDC), a committee of 15 Wikimedians, first took on the job of draftinga Charter for the Wikimedia movement in November 2021.
There were multiple feedback rounds, a lot of conversations, more discussions anda final ratification vote where the community and affiliate support was overwhelming (albeit with a low turnout in both cases due to the voter eligibility criteria), but the WMF'sBoard of Trustees decided the draft was not good enough (notsafe to try). Asreported in the previous issue ofThe Signpost, the Foundation published three pilot projects to take the work forward.
In August 2024, the committee (which still included 11 people), shared theirprocess and ratification reflections pre-Wikimania. Before dissolving on 30 August, they alsopublished their recommendations for next steps, including a response to the three pilots proposed by the WMF.
–Ciell, former MCDC member
