Sign in

WikiResearch

@wikiresearch.bsky.social
468 followers 41 following 15 posts

Mostly a placeholder until we can bring our feed of volunteer-curated Wikipedia/Wikidata/Wikimedia research news to this platform too. For full coverage subscribe to our newsletter: meta.wikimedia.org/wiki/Research:Ne…

PostsRepliesMedia
Reposted by WikiResearch
Steve Jankowski @textaural.bsky.social · 11/09/2026
Wikimedia research methodologies: a bibliometric history of peer production and AI (2005–2025) – I describe the past 20y of this charismatic research object from the perspective of how concerns and methods have shaped its meaning both for researchers and the public more broadly rdcu.be/jjVzyGCbjFja
A triangular diagram that shows the preference for qualitative, quantitative, and evaluative research when studying Wikimedia projects from seven research concerns: Digital property and Commons; Distributed authority; Social media platforms; a reliable source; optimizing Wikipedia; Corporate AI Software; and Wikipedia's significance.
011
Reposted by WikiResearch
Nicole Schwitter @nschwitter.bsky.social · 02/06/2026
#Wikipedia relies on a small group of elected administrators for key governance and maintenance tasks. Are offline Wikipedia meetups related to who ends up in these roles? In Wikipedia's early years, the answer is yes! 📝 doi.org/10.1609/icws...
doi.org
From Meetups to Adminship: The Offline Path to Leadership on Wikipedia | Proceedings of the International AAAI Conference on Web and Social Media
094
Reposted by WikiResearch
CristianCantoro @cristiancantoro.bsky.social · 03/06/2026
Honored to have received the Best Web Agent award for our demo "Wikipedia Community Health Dashboards", check them out here: vitalsigns.wmcloud.org The paper is available in the proceedings here: ojs.aaai.org/index.php/IC...
ojs.aaai.org
View of Wikipedia Community Health Dashboards
011
Reposted by WikiResearch
Steve Jankowski @textaural.bsky.social · 08/06/2026
Wikipedia is often held as a leader in how a community comes together to make difficult epistemological decisions. This article examines the difficulty they faced when deciding to create a timely policy about AI. Some great work looking at Wikipedia policy here. link.springer.com/article/10.1...
Screenshot of the article "Failed comprehensiveness, successful minimalism: Wikipedia’s 3-year struggle to govern AI-generated content (2022–2025)"
173
Reposted by WikiResearch
Ryan McGrady @antisomniac.bsky.social · 04/07/2026
How did I miss this Ford, Dubois, & Puschmann paper about transparency wikibots (twitter bots that automatically report instances of Wikipedia editing by IPs tied to government, before that became impossible last year). Focus here is on Gccabot (Canada): demtech.oii.ox.ac.uk/wp-content/u...
demtech.oii.ox.ac.uk
002
Reposted by WikiResearch
J. Nathan Matias @natematias.bsky.social · 19/07/2026
Is Wikipedia Biased? Later this week, I'm speaking to the Summer Institutes in Computational Social Science in a project to link Wikimedia movement leaders with scientists to imagine studies together. This talk introduces questions of gender/cultural representation www.youtube.com/watch?v=S5GM...
youtube.com
Is Wikipedia Biased? Studying Representation on Wikipedia
YouTube video by Citizens and Technology Lab
183
WikiResearch @wikiresearch.bsky.social · 16/05/2026
See also the review of an earlier version of this paper (and other research comparing Grokipedia and Wikipedia) in the December issue of our newsletter: meta.wikimedia.org/wiki/Researc...
meta.wikimedia.org
Research:Newsletter/2025/December - Meta-Wiki
010
Reposted by WikiResearch
Taha Yasseri @tahayasseri.bsky.social · 15/05/2026
Paper out in @pnas.org We compared ~18,000 matched articles between Wikipedia and Grokipedia, xAI’s AI-generated encyclopedia. While many pages closely mirrored Wikipedia, a substantial subset diverged markedly in content, sourcing, and political orientation, especially in religion and history.
163
Reposted by WikiResearch
Thomas Davidson @thomasdavidson.bsky.social · 03/03/2026
Our new paper is out today in @pnasnexus.org with colleagues at Yale (@matthewshu.com, Danny Karell, @keitarookura.bsky.social) We wanted to understand how using AI-generated summaries to learn about history influenced attitudes compared to existing resources like Wikipedia. 1/4
1209
Reposted by WikiResearch
Benjamin Mako Hill @mako.cc · 22/02/2026
Finally blogged about my paper (led by @zarine.net) that seeks to explain why Croatian Wikipedia spent a decade captured by a cabal of political extremists and became a site for Holocaust revisionism, while other similar Wikipedia languages seemed to have fared much better. mako.cc/copyrighteou...
mako.cc
1124
Reposted by WikiResearch
Maxime Guénette @maxguen.bsky.social · 02/02/2026
Very happy to share that our new paper, "Interoperability as Equity: Collaborative Cultural Heritage Knowledge Graphs as a Tool to Shape Inclusive Ontologies" is out! We are discussing linked open data, ontologies, Wikidata and interoperability with CIDOC CRM doi.org/10.5334/johd...
doi.org
Interoperability as Equity: Collaborative Cultural Heritage Knowledge Graphs as a Tool to Shape Inclusive Ontologies | Journal of Open Humanities Data
014
Reposted by WikiResearch
Patrick Gildersleve @gildersleve.uk · 15/01/2026
Happy 25th birthday to Wikipedia! 🥳 A fitting moment to share 1. Their great site to mark the occasion: wikipedia25.org 2. A paper in Big Data & Society, published over the winter break, where we develop Wikipedia as a “Refractive Dataset”, led by @beeeeeers.bsky.social: doi.org/10.1177/2053...
A paper screenshot:
Refractive datasets as a sensemaking methodology in closed data ecosystems

Anna Beers, Viviane Ito, Agustin Orozco, Patrick Gildersleve, Pablo Aragón, and Francesca Tripodi

Abstract
As digital platforms restrict their APIs, researchers face diminishing options for studying social phenomena in digital environments. During what has been called the post-API era, researchers have found themselves looking for reliable data sources in an unreliable and frequently changing platform data ecosystem. In this context, we propose analyzing refractive datasets as a methodology for researchers to understand the dynamics of closed data platforms. Refractive datasets come from platforms with relatively more open data policies, and their analysis sheds light on platforms with more restrictive data policies. Like a prism, refractive datasets reflect but also transform data-based phenomena unfolding on closed platforms. Using refractive datasets from Wikipedia and Google Trends, we present three studies to demonstrate our methodology. We first show how refractive data from Wikipedia's multiple language editions can be used to understand a fractured global platform ecosystem in a case study of hydroxychloroquine, a purported COVID-19 medicine. Second, we use Google Trends to show how similar refractive analyses can be used to understand information lost to platform deletion, in a profile of an online panic over the drug brand Galaxy Gas. Finally, we show how Wikipedia data can be used as a grounding point for a refractive analysis of how new generative algorithms reproduce and distort data across the social web. We discuss how refractive datasets can be a way for researchers to “sensemake” in increasingly opaque big data environments, enabling interpretivist analyses which aim to generate new hypotheses rather than verify existing claims.
072
Reposted by WikiResearch
Benjamin Mako Hill @mako.cc · 01/02/2026
ICYMI: Finally blogged about an old paper led by @kayleachampion.bsky.social that developed a new method (forensic qualitative analysis) to understand the nature and value of @torproject.org users' contributions to @wikipedia.org. mako.cc/copyrighteou...
012
WikiResearch @wikiresearch.bsky.social · 07/01/2026
"The Block Log: 20 Years of Content Moderation on Wikipedia" rhododendrites.com/pdfs/The%20B...
"Figure 9: Blocks for promotion and sock puppetry as a proportion of all blocks over time" [on English Wikipedia] (from McGrady 2025)"Table 3: Total block by block cluster" [on English Wikipedia] (from McGrady 2025)
041
Reposted by WikiResearch
Benjamin Mako Hill @mako.cc · 03/01/2026
ICYMI: Finally blogged about an "old" paper led by @groceryheist.cc that uses data from a @wikipedia.org system to show how the introduction of a biased AI flagging system can still lead to more fairness because the humans without the system are even more biased. mako.cc/copyrighteou...
mako.cc
Effects of Algorithmic Flagging on Fairness: Quasi-experimental Evidence from Wikipedia
Note: I have not published blog posts about my academic papers over the past few years. To ensure that my blog contains a more comprehensive record of my published papers and to surface these for f…
0123
Reposted by WikiResearch
Siobhan Leachman @siobhanleachman.bsky.social · 05/12/2025
Congratulations to @tiagolubiana.bsky.social for shepherding our paper to publication & to all my wonderful co-authors. "Wiki Loves iNaturalist: How Wikimedians Integrate iNaturalist Content on Wikipedia, Wikidata, and Wikimedia Commons" can be read here doi.org/10.3897/biss...
doi.org
Wiki Loves iNaturalist: How Wikimedians Integrate iNaturalist Content on Wikipedia, Wikidata, and Wikimedia Commons
With over 50 million observations per year, iNaturalist is one of the world's most successful citizen science projects, uniting millions of people worldwide in observing, sharing, and identifying natu...
0115
Reposted by WikiResearch
Patrick Gildersleve @gildersleve.uk · 09/12/2025
I’m chuffed to share that I’ve been awarded this grant with @ftripodi.bsky.social and Brett Zehner 🥳 We’ll be studying how AI systems may reproduce or reinforce biases in Wikipedia, whether by extracting knowledge from the platform or by contributing content back to it. Excited to get started!
2122
Reposted by WikiResearch
Taha Yasseri @tahayasseri.bsky.social · 08/12/2025
A few updates on our Grokipedia analysis: we expanded our sample to 20,000 most edited articles on Wikipedia. Linguistic & stylistic differences are the same as reported before (Generally, Grokipedia articles are longer, more difficult to read, and less referenced.) @wikiresearch.bsky.social
123
Reposted by WikiResearch
hal @harold.bsky.social · 17/11/2025
back again to share a new preprint from me and @mantzarlis.com! “What did Elon Change? A comprehensive analysis of Grokipedia” arxiv.org/abs/2511.09685 I had seen many spot analyses of individual grokipedia pages, but I was curious: how was grokipedia made? what did Elon change from wikipedia?
abstract of the paper "What did Elon change? A comprehensive analysis of Grokipedia"

Elon Musk released Grokipedia on 27 October 2025 to provide an alternative to Wikipedia, the crowdsourced online encyclopedia. In this paper, we provide the first comprehensive analysis of Grokipedia and compare it to a dump of Wikipedia, with a focus on article similarity and citation practices. Although Grokipedia articles are much longer than their corresponding English Wikipedia articles, we find that much of Grokipedia's content (including both articles with and without Creative Commons licenses) is highly derivative of Wikipedia. Nevertheless, citation practices between the sites differ greatly, with Grokipedia citing many more sources deemed "generally unreliable" or "blacklisted" by the English Wikipedia community and low quality by external scholars, including dozens of citations to sites like Stormfront and Infowars. We then analyze article subsets: one about elected officials, one about controversial topics, and one random subset for which we derive article quality and topic. We find that the elected official and controversial article subsets showed less similarity between their Wikipedia version and Grokipedia version than other pages. The random subset illustrates that Grokipedia focused rewriting the highest quality articles on Wikipedia, with a bias towards biographies, politics, society, and history. Finally, we publicly release our nearly-full scrape of Grokipedia, as well as embeddings of the entire Grokipedia corpus.
1129
Reposted by WikiResearch
Stephen Harrison @stephenharrison.com · 13/11/2025
Key points in new Cornell Tech research: 56% of Grokipedia entries carry the Wikipedia CC license, suggesting wholesale ingestion Grokipedia’s top 100 sources include fewer news outlets and more UGC (e.g. LinkedIn scraping) Grokipedia has fewer citations overall, making it harder to check sources
indicator.media
Grokipedia cites a Nazi forum and fringe conspiracy websites
A site-wide comparison with Wikipedia sheds light on what Elon Musk is trying to do
0138
Reposted by WikiResearch
addshore.bsky.social @addshore.bsky.social · 28/10/2025
Wikidata Map in 2025 Another year, another map, and another Birthday for Wikidata. Last generated in 2024 by @tarrow and @outdooracorn, this year I have put the work in just ahead of the 13th Wikidata birthday to have a look at what's changed in terms of items with coordinates this past year on…
addshore.com
Wikidata Map in 2025
Another year, another map, and another Birthday for Wikidata. Last generated in 2024 by @tarrow and @outdooracorn, this year I have put the work in just ahead of the 13th Wikidata birthday to have a look at what's changed in terms of items with coordinates this past year on Wikidata. And here it is! But really you need to look at the diff between previous years to see what has changed!
012
Reposted by WikiResearch
Taha Yasseri @tahayasseri.bsky.social · 31/10/2025
#Grokipedia set out to “fix” #Wikipedia. Turns out it mostly rewrites it, longer, slicker, less sourced. Fluent, but fragile. @wikiresearch.bsky.social
262
WikiResearch @wikiresearch.bsky.social · 15/10/2025
"Investigating extreme cases in Wikipedia talk pages: Some insights on user behaviours" uplopen.com/chapters/e… e.g. "the most prolific users, the longest threads (in terms of total duration, number of posts or number of distinct users involved) and the longest monologues"
130
Reposted by WikiResearch
caitrionalee.bsky.social @caitrionalee.bsky.social · 30/09/2025
Seredinski, A., Litchock-Morellato, F., Lange, A. et al. Using a Wikipedia edit-a-thon as a cross-curricular STEM representation assignment. Discov Educ 4, 368 (2025). doi.org/10.1007/s442... #OpenAccess
doi.org
Using a Wikipedia edit-a-thon as a cross-curricular STEM representation assignment - Discover Education
Background Wikipedia is a highly used, free, online encyclopedia with known gender disparities across its biography content. Editing Wikipedia has entered STEM classrooms as a writing-focused and sometimes equity-focused assignment. This paper presents a Wikipedia edit-a-thon event at the Wentworth Institute of Technology in Boston, Massachusetts focused on improving articles about women in STEM. This edit-a-thon promoted cross-disciplinary collaboration and community building with faculty and undergraduate students across eleven courses and disparate disciplines and offices at the university. Results Edit-a-thon attendees edited pages on women in STEM and listened to five-minute lightning talks by women in the university community: students, former faculty, and administrators. The impacts of the event include the addition of more than 15,000 words and 100 references to more than 100 articles on Wikipedia. The event supported a variety of student learning outcomes in participating courses across disciplines in the sciences and humanities. Conclusions A Wikipedia edit-a-thon supported student learning across multiple subjects while contributing to underdeveloped biography articles about women in STEM and helping students find a voice in the Wiki space. The edit-a-thon has potential as a cross-curricular touchpoint and to support equity and representation work.
011
WikiResearch @wikiresearch.bsky.social · 11/10/2025
"Demographic disparity in Wikipedia coverage: a global perspective" (top 12 languages) epjdatascience.springeropen.com/articles/1… - Women slightly overrepresented (not underrepresented) among living article subjects since ~2015, but still have shorter articles - Developing countries overrepresented
041
WikiResearch @wikiresearch.bsky.social · 04/10/2025
"Investigating How LLMs Impact Participation in [Wikipedia]" (interviewing 16 editors) arxiv.org/abs/2509.07819v1 ChatGPT etc "enhance contribution quality for experienced editors" & "lower entry barriers for newcomers", but newbies struggle to align LLM outputs w Wikipedia policies
030
Reposted by WikiResearch
Paschalis Agapitos @paschalisag.bsky.social · 17/09/2025
New paper alert: WikiTextGraph – an open-source Python package for extracting the text and building multilingual Wikipedia link networks. With: @gustavoschwartz.bsky.social , Juan Luis Suárez Paper: openresearchsoftware.metajnl.com/articles/10.... @wikiresearch.bsky.social #wikipedia #software
The Graphic User Interface of WikiTextGraph
012
Reposted by WikiResearch
Steve Jankowski @textaural.bsky.social · 27/08/2025
With the school year approaching, a number of scholars and myself have assembled together a Critical Wikimedia Research Bibliography. If you are teaching a course or doing research, we think you might find some good resources here. meta.wikimedia.org/wiki/Critica...
meta.wikimedia.org
Critical Wikimedia Research Bibliography - Meta-Wiki
032
Reposted by WikiResearch
Steve Jankowski @textaural.bsky.social · 08/07/2025
I am pleased to announce the launch of the Manifesto for Wikimedia Research manifesto.wiki. As my co-authored Big Data & Society commentary explains, the manifesto is dedicated to a humanist and critical tradition of taking Wikipedia's importance seriously. journals.sagepub.com/doi/10.1177/...
manifesto.wiki
A manifesto for Wikimedia research: Critically studying Wikimedia as infrastructure
1105
Reposted by WikiResearch
Patrick Gildersleve @gildersleve.uk · 26/06/2025
Had a great time meeting everyone and seeing all the interesting work @icwsm.bsky.social. I presented our study on the Wikireddit dataset - exploring Wikipedia’s role in fact-checking, discussion, and cross-platform attention on the web. Thank you to the organisers! 📄: ojs.aaai.org/index.php/IC...
Presenter (Patrick Gildersleve) in front of a screen summarising the WikiReddit Dataset project. The slide describes it as "Every Wikipedia mention and link on Reddit, 2020-2023", includes some example usage, describes the scale of the dataset, and offers suggested use cases.
083
Reposted by WikiResearch
Benjamin Mako Hill @mako.cc · 15/06/2025
UW published this really nice article about my work on governance challenges and lifecycles faced by peer-produced online communities—the work supported by my NSF CAREER grant. Check it out if you want to know what I've been thinking about and working on!
artsci.washington.edu
The Challenge of Peer-Produced Websites | UW College of Arts & Sciences
Communication professor Benjamin Mako Hill studies why successful peer-produced websites (like Wikipedia) eventually struggle to maintain their openness to new contributors.
3288
Reposted by WikiResearch
Revista Infonomy @revistainfonomy.bsky.social · 19/05/2025
Desambiguación en Wikipedia: exploración de los mecanismos de control de autoridades en la enciclopedia colaborativa por @florenciac.bsky.social y @tsaorin.bsky.social en #revistainfonomy doi.org/10.3145/info... #Controldeautoridades #Vocabularioscontrolados #Wikipedia
032
Reposted by WikiResearch
Hellina Hailu Nigatu @hellinanigatu.bsky.social · 27/05/2025
Been a hectic semester for me but made it through 😊 a few updates Had a blast as a GSI for @dbamman.bsky.social NLP class. Was a wonderful experience 💃 Won the Wikipedia Foundation Research of The Year Award for our CHI paper(doi.org/10.1145/3613...) with @schasins.bsky.social and John Canny
doi.org
364
Reposted by WikiResearch
arXiv cs.SI Social and Information Networks @cssi-bot.bsky.social · 23/05/2025
findings: (1) Wikipedia is most frequently cited by news and science websites for informational purposes, while commercial websites reference it less often. (2) The majority of Wikipedia links appear within the main content rather than in boilerplate [3/5 of arxiv.org/abs/2505.15837v1]
111
Reposted by WikiResearch
Ryan McGrady @antisomniac.bsky.social · 23/05/2025
Whipped up a #WikiWorkshop 2025 recap blog post here: rhododendrites.com/posts/WikiWo... @wikiresearch.bsky.social Some really interesting tools, methods, and studies over the last couple days!
rhododendrites.com
WikiWorkshop 2025 Recap - Rhododendrites
I like the internet
021
Reposted by WikiResearch
Steve Jankowski @textaural.bsky.social · 21/05/2025
Well this is good timing. @wikiworkshop.bsky.social starts today and my paper that I presented in previous years has just been published this morning. doi.org/10.1177/1461.... We describe how hatnotes on policy pages are incredibly important techniques for ascribing different forms of authority.
doi.org
Templates and sovereignty: Wikipedia’s policy development and the reflection of community consensus - Steve Jankowski, Claudio Celis Bueno, Ouejdane Sabbah, Jakko Kemper, 2025
This article examines how Wikipedians embed their sovereign authority within the development of the site’s multilingual policy environment. By drawing on the co...
032
Reposted by WikiResearch
The Forward @forward.com · 16/05/2025
A recent ADL report claimed to find broad, systemic evidence of antisemitism on Wikipedia, prompting two dozen members of Congress to call into question the site's approach to moderating content related to Jews. Some researchers cited by the ADL say their findings have been misconstrued.
forward.com
Is Wikipedia a cesspool of antisemitism? Don't trust the ADL's answer.
The ADL would have us believe Wikipedia is riddled by antisemitism. The reality is more complicated, writes a scholar whom the ADL has cited.
173
WikiResearch @wikiresearch.bsky.social · 06/05/2025
"Invitation to give feedback to Wikimedia Research Fund 2024-2025 proposals" until May 12 lists.wikimedia.org/hyperkitty/l... (13 proposals under review, with budgets ranging from $8,571 to $149,976 USD)
A table listing the 13 research fund proposals under consideration (screenshot of https://meta.wikimedia.org/wiki/Grants_talk:Start#Alternative_overview_of_the_research_fund_proposals_under_further_consideration  )
072
WikiResearch @wikiresearch.bsky.social · 04/05/2025
In the new edition of our monthly newsletter: * How readers use Wikipedia health content * Scholars are generally happy with how their papers are cited on Wikipedia * Several other papers about references on Wikipedia and more: meta.wikimedia.org/wiki/Researc...
Image of various pills, with text: 'Readers use Wikipedia's health content "to learn more", "to improve decision-making" and "for self-advocacy".' (from https://meta.wikimedia.org/wiki/Research:Newsletter/2025/April )
052
Reposted by WikiResearch
Open Access Tracking Project @oatp.fediscience.org.ap.brid.gy · 20/04/2025
Research citations building trust in Wikipedia: Results from a survey of published authors | PLOS One journals.plos.org/plosone/article?i…
journals.plos.org
Research citations building trust in Wikipedia: Results from a survey of published authors
The use of Wikipedia citations in scholarly research has been the topic of much inquiry over the past decade, however little is known regarding perceived Researchers trustworthiness of Wikipedia citations and representation of their work. This cross-publisher study (Taylor & Francis and University of Michigan Press) aimed to investigate author sentiment towards Wikipedia as a source of trusted information. Methods A short survey was distributed to 40,402 authors of papers cited in Wikipedia (n=21,854 surveys sent, n=750 complete responses received). The survey gathered responses from published authors in relation to their views on Wikipedia’s trustworthiness in relation to the citations to their published works. The unique findings of the survey were analysed using a mix of quantitative and qualitative methods using Python, Google BigQuery and Looker Studio. Results Overall, authors expressed positive sentiment towards research citation in Wikipedia and researcher engagement practices (mean scores >7/10). Sub-analyses revealed significant differences in sentiment based on publication type (articles vs. books) and discipline (Humanities and Social Sciences vs. Science, Technology, and Medicine), but not access status (open vs. closed access). Conclusions This study provides unique insights into author perceptions of Wikipedia’s trustworthiness. Further research is needed to deepen the understanding of the benefits for researchers and publishers including academic citations in Wikipedia.
042
Reposted by WikiResearch
NLP for Wikipedia workshop (at ACL 2025) @wikinlp.bsky.social · 17/04/2025
📢📢📢 Second for Contributions! Join us at the 2nd WikiNLP Workshop on NLP for Wikipedia, co-located with #ACL2025 in Vienna. We welcome both in-person and virtual attendees, and have both archival and non-archival tracks! 🗓️ deadline: April 30 Details: meta.wikimedia.org/wiki/NLP_for...
t.co
https://w.wiki/CumQ
055
Reposted by WikiResearch
Wiki Workshop 2025 @wikiworkshop.bsky.social · 27/03/2025
Registration is now open for #WikiWorkshop2025! Don’t miss this opportunity to connect and collaborate with the @wikiresearch.bsky.social community. 📅 May 21-22, 2025 💻 Virtual 🔗 pretix.eu/wikimedia/wi...
pretix.eu
Wiki Workshop 2025
May 21st – 22nd, 2025
033
WikiResearch @wikiresearch.bsky.social · 24/03/2025
In the March issue of our research newsletter: * Flagged Revisions: Explaining the disappointing history of a community-requested software feature * A roundup of several recent papers investigating the impact of ChatGPT on Wikipedia so far and more: meta.wikimedia.org/wiki/Researc...
Plot showing evidence for a decrease in pageviews for LLM-similar Wikipedia articles (including a figure from Liang Lyu, James Siderius, Hannah Li, Daron Acemoglu, Daniel Huttenlocher, Asuman Ozdaglar, "Wikipedia Contributions in the Wake of ChatGPT", CC BY 4.0)Illustration of the challenges between different stakeholders (regarding Flagged Revisions on Wikipedia)
from "Challenges in Restructuring Community-based Moderation", by Chau Tran, Kejsi Take, Kaylea Champion, Benjamin Mako Hill, Rachel Greenstadt, CC BY-SA 4.0
011
Reposted by WikiResearch
Tiziano Piccardi @tiziano.bsky.social · 16/03/2025
New funding opportunity for Wikimedia-related research! Grants up to $150K available. Apply by April 16th: meta.wikimedia.org/wiki/Grants:...
meta.wikimedia.org
Grants:Programs/Wikimedia Research & Technology Fund/Wikimedia Research Fund - Meta
01510
Reposted by WikiResearch
Wiki Workshop 2025 @wikiworkshop.bsky.social · 14/03/2025
We received 64 submissions for #WikiWorkshop2025 🙌 A huge thank you to the @wikiresearch.bsky.social community for such an amazing engagement. Our reviewers will be diving into them in the coming weeks... stay tuned! 🔍📖
052
WikiResearch @wikiresearch.bsky.social · 02/03/2025
In the new issue of our monthly newsletter: ▸ What's known about how readers navigate Wikipedia ▸ Italian Wikipedia is the hardest to read ▸ "open access articles are extensively and increasingly more cited in Wikipedia" than those behind a paywall meta.wikimedia.org/wiki/Researc...
chart "Fraction of OA citations by publication date of citation" (figure 3 from Puyu Yang, Ahad Shoaib, Robert West, Giovanni Colavizza, "Open access improves the dissemination of science: insights from Wikipedia", https://doi.org/10.1007/s11192-024-05163-4 , BB BY 4.0)
052
Reposted by WikiResearch
NLP for Wikipedia workshop (at ACL 2025) @wikinlp.bsky.social · 06/02/2025
The call for papers for the second edition of the #WikiNLP workshop at @aclmeeting.bsky.social is out! We welcome contributions on #NLProc + Wikimedia, especially on datasets, and ideas to advance its mission. More details: meta.wikimedia.org/wiki/NLP_for...
WikiNLP workshop flyer inviting contributions for provocations, datasets, and ongoing work on NLP+Wikimedia
0113
Reposted by WikiResearch
Taha Yasseri @tahayasseri.bsky.social · 23/02/2025
Here are some preliminary analyses of X's Community Notes in relation to the German election. The top 2 most frequently cited sources are X and Wikipedia (among other results). medium.com/@nargeschini... @communitynotesbsky.bsky.social @wikiresearch.bsky.social
medium.com
German Election Trends: The Role of Community Notes on X!
by Narges Chinichian*, Hannah Doyal* and Taha Yasseri
021
Reposted by WikiResearch
Zach McDowell @zacharymcdowell.bsky.social · 19/02/2025
A new article I coauthored with @darthvetter.bsky.social is out today in AI and Society, "An Endangered Species: How LLMs threaten Wikipedia's sustainability" #wikipedia #wikiresearch link.springer.com/article/10.1...
link.springer.com
An endangered species: how LLMs threaten Wikipedia’s sustainability - AI & SOCIETY
As a collaboratively edited and open-access knowledge archive, Wikipedia offers a vast dataset for training artificial intelligence (AI) applications and models, enhancing data accessibility and acces...
073
Reposted by WikiResearch
Wiki Workshop 2025 @wikiworkshop.bsky.social · 17/02/2025
📣 The Call for Papers for the 12th edition of Wiki Workshop is out. Submit your 2-page extended abstract of your research about Wikimedia projects by March 9! All submissions are non-archival (ongoing, completed, already published works are welcome). More info: meta.wikimedia.org/wiki/Wiki_Wo...
Logo for Wiki Workshop 2025 mentioning it will take place virtually on May 21 and 22, 2025.
222