Wiki-research-l July 2026

wiki-research-l@lists.wikimedia.org

8 participants
8 discussions

Can Research on Wikipedia Be Replicated?
by J. Nathan Matias 29 Jul '26

29 Jul '26

Hi all, When people seek guidance from science, they expect it to work more than once. In a new article with Cassidy Waldrip and David Lazer, we ask if early fears about corporate control of computational social science have become true. To investigate this question, we analyzed over 200 papers in *Science* , *Nature*, and *PNAS* that involved tech firms and considered whether it's possible to repeat them, comparing studies with corporate collaborations, APIs/Scraping, and papers that relied on Wikipedia. The answer? Few papers that rely on tech firms can be replicated, papers reliant on Wikipedia have *much* more replication feasibility, and where papers based on Wikipedia are not repeatable, it's often because the authors included a commercial dataset. This is one of two new papers I have out this summer on transparent, reliable science that might be of interest to this community. - The blog post summary is here: New Studies: How Commercial Forces Make Science Less Reliable <https://citizensandtech.org/2026/07/commercial-determinants-science/> - Here are the papers: - Matias, J. N., Waldrip, C., & Lazer, D. (2026). Commercial Determinants of Replication Infeasibility in Computational Social Science <https://journalqd.org/article/view/9661>. *Journal of Quantitative Description: Digital Media*, *6*. - McLoughlin, K. L., Palmer, A., Matias, J. N., & Crockett, M. J. (2026). Proprietary LLMs impede scientific transparency and reproducibility <https://www.nature.com/articles/s44159-026-00593-8>. *Nature Reviews Psychology*, 1-2. I hope this is helpful and encouraging to the Wiki research community! -- J. Nathan Matias <http://natematias.com/> : Cornell University : Citizens and Technology Lab <https://citizensandtech.org> : Coalition for Independent Technology Research <http://independenttechresearch.org/> : social.coop/@natematias : blogs <https://natematias.com/external-posts/> : daylight time photos <https://social.coop/tags/outdoormoments>

1 0

Re: Research Project, Who Funds WikiResearch? ending
by Brett Buttliere 27 Jul '26

27 Jul '26

Hello, I would say the best is just to go to OpenAlex and search for your particular funder, with that specific character string, and you can see all of their works, also non wiki ones. here <https://openalex.org/funders/f4320306151> is Alfred P Sloan, one of the larger private WikiResearch funders. But also here <https://osf.io/6e9as/files/fznt8> is the 'big' dataset, let's say, and you can select papers matching the 'grants.funder_display_name'. Best, Brett On Mon, Jul 27, 2026 at 1:32 AM Benj. Mako Hill <mako(a)atdot.cc> wrote: > Greetings Brett and others! > > First of all, thank you *so* much for doing this work and sharing > it. This work feels like it has the real possibility of helping > Wikimedia researchers fund their work. This is very useful! > > {"quotation": {"who": "Brett Buttliere via Wiki-research-l", "date": "Fri, > Jul 24, 2026 at 06:44:20PM +0200"}} > > *If you want to see the full list of funders, and also the keywords that > > they are funding, you can see that here < > https://osf.io/6e9as/files/ca3sz>.* > > from there you can search in the main dataset and find the specific > papers, > > read abstracts, or see who did them or at what institutions. > > Is there also some mapping between specific papers or pieces of > research and funders? > > The obvious takeaway is that all the most common funding sources are > national research funding agencies (China, US, Japan, Europe, > etc.). This is, of course, not super surprising since these > organizations fund tons of research. > > I'm really interested in learning about smaller funders I don't > already know about who might be interested in funding Wikimedia > work. That said, it feels obvious looking at the list that I'm going > to need to know *what* was funded to figure this out. > > Regards, > Mako > > -- > Benjamin Mako Hill > https://mako.cc/academic/ >

1 0

Research Project, Who Funds WikiResearch? ending
by Brett Buttliere 26 Jul '26

26 Jul '26

Hi All, Our project about Who is funding WikiResearch <https://docs.google.com/document/d/1vaxQrpP1DGMxVWRbXAvax0O52pj5221unSjDrkK…> is in the final stages of wrapping up, and I have the data open and ready to analyze sort of a last time. Thus I invite you to look a little bit at the report, and I can also do some small analyses for your particular keywords or funder, for instance giving you the papers for any particular funder, or topic, or institution, etc. After next week, you can access the related files and analysis code here <https://osf.io/6e9as/files/osfstorage>. Aside from that, I encourage you to look at the report, or watch the WikiWorkshop presentation <https://youtu.be/2Wsix72Wy6Y?si=lFZNHN5w8kLuq-0t> about it. there are many potential analyses that can be done in the cleaned data, and we will use them in the future to help build relationships, projects, and etc. Please feel free to email me with any questions or suggestions. or if i can provide you with more information. Enjoy WikiMania! Brett

4 6

Linking Wikipedia pages with GenAI Chatbots?
by J. Nathan Matias 24 Jul '26

24 Jul '26

Hi all, I hope folks are enjoying Wikimania! Greetings from the Nigeria Summer Institutes in Computational Social Science at Uyo, which I've been supporting remotely this week! I could swear that I saw an announcement earlier this year of a proposed protocol that enables GenAI tools to link to Wikipedia pages and also report back privacy-preserving impression data to the WMF. But I can't find it - if this does exist and I didn't dream it up, can someone share it? There are two reasons I'm curious about this: 1. I'm hearing from scholars who are very interested to study this question in different parts of the world, so if there are questions on the WMF side about how to make this useful to researchers while preserving privacy once it's available, I would be happy to support that. 2. I'm having some super interesting conversations with Current AI / AI Potluck <https://www.aipotluck.org/> who are making an open stack LLM, from hardware to software. They are working with the Apertus model- I imagine WMF and the community are already in conversation with them, but I would be happy to make the connection. All the best, -- J. Nathan Matias <http://natematias.com/> : Cornell University : Citizens and Technology Lab <https://citizensandtech.org> : Coalition for Independent Technology Research <http://independenttechresearch.org/> : social.coop/@natematias : blogs <https://natematias.com/external-posts/> : daylight time photos <https://social.coop/tags/outdoormoments>

2 2

[2nd CfP]: DBpedia Day 2026 || SEMANTiCS Conference|| Deadline Extension
by DBpedia 22 Jul '26

22 Jul '26

==== DBpedia Day - Co-located with SEMANTiCS 2026 Ghent, Belgium September 15, 2026 Submission Deadline: July 29, 2026 (extended) Submission Form: https://forms.gle/Ed9GwC2Fd1dGckvi7 ==== DBpedia Day brings together researchers, developers, practitioners, and organizations working on Knowledge Graphs and the technologies that enable them. We invite contributions from leading experts as well as emerging initiatives that are shaping the future of the Knowledge Graph ecosystem. This year's event focuses on two complementary themes: * Knowledge Graphs – new, emerging, and established knowledge graphs that provide valuable structured knowledge. * Tools, Methods, and Systems for Knowledge Graphs – technologies that create, maintain, analyze, connect, enrich, and exploit knowledge graphs. We are particularly interested in submissions that discuss pressing challenges as well as success stories in publishing, analyzing, maintaining, and utilizing Knowledge Graphs. The goal of DBpedia Day is to showcase innovative knowledge graph solutions, highlight successful long-term initiatives, and foster discussion on the next generation of technologies that will unlock the full potential of structured knowledge. = Topics of Interest = Knowledge Graphs * Challenges and lessons learned in publishing, analyzing, maintaining, and using Knowledge Graphs * New and emerging Knowledge Graphs * Mature and widely adopted Knowledge Graphs * Domain-specific Knowledge Graphs * Community-driven and open Knowledge Graph initiatives * Enterprise and organizational Knowledge Graphs * Knowledge Graph sustainability, governance, and maintenance * Applications and use cases of Knowledge Graphs Tools, Methods, and Systems for Knowledge Graphs * Knowledge Graph construction and enrichment * Knowledge extraction and integration * Entity linking and record linkage * Knowledge Graph alignment and interoperability * Querying, reasoning, and analytics * Visualization and exploration tools * Profiling and quality assessment * Summarization and overview generation * Knowledge Graph maintenance and evolution * AI-assisted Knowledge Graph engineering * Tools operating across multiple Knowledge Graphs * Benchmarking and evaluation frameworks = Submission Guidelines = Please submit your proposal by July 29, 2026 (AoE) via: https://forms.gle/Ed9GwC2Fd1dGckvi7 Your proposal should include: * Title * Abstract (max. 300 words) * Short biography of the speaker(s) On-site participation is required for all accepted speakers. Event page: https://www.dbpedia.org/blog/dbpedia-day-2026/ Join us in Ghent and help shape the next generation of Knowledge Graph technologies! Best regards, Julia, Milan & Sebastian DBpedia Team

1 0

[CfP]: DBpedia Day 2026 || SEMANTiCS Conference || Sept 15
by DBpedia 10 Jul '26

10 Jul '26

==== DBpedia Day - Co-located with SEMANTiCS 2026 Ghent, Belgium September 15, 2026 Submission Deadline: July 15, 2026 (AoE) Submission Form: https://forms.gle/Ed9GwC2Fd1dGckvi7 ==== DBpedia Day brings together researchers, developers, practitioners, and organizations working on Knowledge Graphs and the technologies that enable them. We invite contributions from leading experts as well as emerging initiatives that are shaping the future of the Knowledge Graph ecosystem. This year's event focuses on two complementary themes: * Knowledge Graphs – new, emerging, and established knowledge graphs that provide valuable structured knowledge. * Tools, Methods, and Systems for Knowledge Graphs – technologies that create, maintain, analyze, connect, enrich, and exploit knowledge graphs. We are particularly interested in submissions that discuss pressing challenges as well as success stories in publishing, analyzing, maintaining, and utilizing Knowledge Graphs. The goal of DBpedia Day is to showcase innovative knowledge graph solutions, highlight successful long-term initiatives, and foster discussion on the next generation of technologies that will unlock the full potential of structured knowledge. = Topics of Interest = Knowledge Graphs * Challenges and lessons learned in publishing, analyzing, maintaining, and using Knowledge Graphs * New and emerging Knowledge Graphs * Mature and widely adopted Knowledge Graphs * Domain-specific Knowledge Graphs * Community-driven and open Knowledge Graph initiatives * Enterprise and organizational Knowledge Graphs * Knowledge Graph sustainability, governance, and maintenance * Applications and use cases of Knowledge Graphs Tools, Methods, and Systems for Knowledge Graphs * Knowledge Graph construction and enrichment * Knowledge extraction and integration * Entity linking and record linkage * Knowledge Graph alignment and interoperability * Querying, reasoning, and analytics * Visualization and exploration tools * Profiling and quality assessment * Summarization and overview generation * Knowledge Graph maintenance and evolution * AI-assisted Knowledge Graph engineering * Tools operating across multiple Knowledge Graphs * Benchmarking and evaluation frameworks = Submission Guidelines = Please submit your proposal by July 15, 2026 (AoE) via: https://forms.gle/Ed9GwC2Fd1dGckvi7 Your proposal should include: * Title * Abstract (max. 300 words) * Short biography of the speaker(s) On-site participation is required for all accepted speakers. Event page: https://www.dbpedia.org/blog/dbpedia-day-2026/ Join us in Ghent and help shape the next generation of Knowledge Graph technologies! Best regards, Julia, Milan & Sebastian DBpedia Team

1 0

Proposal: a dedicated AI-assistant referrer category in the Clickstream
by Kai Zhu 07 Jul '26

07 Jul '26

Hi all, I'd like to float a small extension to the Clickstream dataset that I think would make it considerably more useful for studying how AI assistants are reshaping traffic to Wikipedia. Right now the referrer mapping scheme gives an external search engine its own value (other-search) but folds everything else into other-external, or into other-empty when the referrer is stripped. That means clickthroughs from AI assistants — ChatGPT, Perplexity, Gemini, Copilot, Claude, and so on — are effectively invisible, mixed in with the rest of the external web. My suggestion is to add one more mapped value, say other-ai, populated by matching referrers against a maintained list of AI-assistant / LLM product domains. The payoff is that the Clickstream becomes a longitudinal instrument for a question the community is already wrestling with: how much traffic AI intermediaries actually send back to Wikipedia, and how that's trending over time. Thanks for considering it, Kai Zhu Bocconi University

3 3

Fwd: [Cloud-announce] PAWS file cleanup
by Leila Zia 07 Jul '26

07 Jul '26

If you have files on PAWS, please see below. ---------- Forwarded message --------- From: Andrew Bogott via Cloud-announce <cloud-announce(a)lists.wikimedia.org> Date: Tue, Jul 7, 2026 at 9:52 AM Subject: [Cloud-announce] PAWS file cleanup To: <Cloud-announce(a)lists.wikimedia.org> Cc: Andrew Bogott <abogott(a)wikimedia.org> tl;dr: we are about to delete a whole lot of files on PAWS. Please reach out /quickly/ if you have unusually large storage needs in paws or if you find important things missing. -- Due to an increase in inappropriate and/or abusive uses, we are setting up more aggressive scanning and clearing of the NFS storage that underlies PAWS notebooks. This will be largely automated and will be a fairly blunt instrument; ideally we will only erase files associated with invalid uses but there are likely to be some false positives so I'm hoping to get user feedback when we overstep. In order to free up working space I'm going to need to delete some large files right now. Going forward, files will be moved into purgatory for a couple of weeks before deletion, so if you find important data missing it can likely be recovered if you contact us right away. Either look for an admin on IRC or follow up on this phab task: https://phabricator.wikimedia.org/T327936 This is all briefly documented at: https://wikitech.wikimedia.org/wiki/PAWS/Getting_started_with_PAWS#Usage_an… _______________________________________________ Cloud-announce mailing list -- cloud-announce(a)lists.wikimedia.org List information: https://lists.wikimedia.org/postorius/lists/cloud-announce.lists.wikimedia.…

1 0

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

2010

2009

2008

2007

2006

2005

Wiki-research-l July 2026