Come celebrate Wikipedia’s 25th birthday with us by sharing your Wikimedia and Wikipedia related research and insights with the Wikipedia research community.

We invite contributions to the Research Track of the 13th edition of Wiki Workshop, which will take place virtually on March 25-26, 2026 as a 2-day standalone event.

The Wiki Workshop is the largest Wikimedia research event of the year, aimed at bringing together researchers who study all aspects of Wikimedia projects (including, but not limited to, Wikipedia, Wikidata, Wikimedia Commons, Wikisource, and Wiktionary) as well as Wikimedia developers, affiliate organizations, and volunteer editors. Possible tools and topics for study are very broad, ranging from humanistic modes of inquiry to social scientific analyses to computational sciences and AI.

Co-organized by the Wikimedia Foundation’s Research team and members of the Wikimedia research community, the workshop provides a direct pathway for exchanging ideas between the organizations that serve Wikimedia projects and the researchers actively studying them.

Submissions are non-archival, meaning we welcome ongoing, completed, and already published work.
We accept submissions in the form of 2-page extended abstracts.
Authors of accepted abstracts will be invited to present their research in a pre-recorded oral presentation, with dedicated time for live Q&A on the days of the event.
Accepted abstracts will be shared on the website prior to the event.

Building on the successful experiences of organizing Wiki Workshop 2015-2025 and based on feedback from authors and participants over the years, this year’s Research Track is organized as follows:

Important Dates

Submission deadline: January 23, 2026 (23:59 AoE)
Author notification: February 20, 2026
Final version due (Note: you will upload a pre-recorded video presentation and final version of your abstract): March 6, 2026 (23:59 AoE)
Workshop date: March 25-26 2026

Submission Instructions

Wiki Workshop accepts extended abstracts (PDF format, maximum 2 pages). Submissions that exceed the 2-page limit will be automatically rejected. Authors may include 1 additional page containing references, figures, and/or tables (including captions) only. Initial submissions require names and affiliations of authors, 5 keywords, a title, an abstract, and a main text outlining the contribution, methods, findings, and impact of the work, whichever is relevant. Submissions will be non-archival and, as a result, may have already been published, under review, or ongoing research. All submissions will be reviewed by multiple members of the Wiki Workshop Program Committee. The names of the authors will be revealed to the reviewers, whereas reviewers will remain anonymous to the authors.

Please review our Privacy Statement before submitting your abstract to OpenReview.

Template for submissions will be announced by November 21st, 2026


Issues with OpenReview submissions?

In order to submit an extended abstract, corresponding authors need to have an account on OpenReview. We strongly suggest using an academic or institutional e-mail as part of the sign-up process. If you are not affiliated with an academic institution (e.g. as independent or industry researcher), activation of your profile might take up to two weeks due to moderation by OpenReview. If you are having issues with your account setup,, please do not hesitate to reach out to the PC chairs. (see below for contact details).

Topics

Wiki Workshop aims to have a broad technical program inclusive of many academic fields and disciplines. Topics include, but are not limited to:

AI and Information Ecosystems
* The impact of AI on Wikimedia: Research on ways to measure and understand the impact that the use of AI has on Wikipedia and the knowledge commons over time;
* The impact of Wikimedia on AI: Conversely, measuring and understanding the impact of Wikipedia on AI, including measuring the value of Wikipedia for AI, methods for source attribution, and studies of AI tool use that leverages Wikimedia projects;
* Innovative uses of Wikipedia, other Wikimedia projects, and Knowledge Commons for AI and NLP applications, as well as AI tools for improving these projects;
* The interplay between Wikimedia projects and the broader (open) knowledge ecosystem including interactions with other online platforms;
* Examination of content reuse dynamics within and beyond Wikimedia projects;
* Innovative uses of Wikimedia projects as indicators for real-world events, cultural trends, technological or scientific advancements, and beyond;

Community Participation
* Community health questions including sentiment analysis, harassment detection, and tools that enhance community harmony;
* Dynamics of participation, including activation, retention, and attrition of various Wikimedia users and audiences;
* Strategies and models to engage new editors through improvements to onboarding experiences;
* Understanding the motivations, engagement models, incentives, and needs of Wikimedia editors, readers, and developers of Wikimedia projects;
* Approaches to discussions, consensus-building, and conflict resolution in editorial decision-making;
* New methods and AI models to engage new generations of editors with guided mentorship or workflows;

Content Creation and Quality
* New technologies and initiatives to grow content, quality, equity, and diversity across Wikimedia projects;
* Innovative use of AI models to support editors in identifying and automating repetitive tasks that could be easily automated (such as copyediting);
* Techniques for detecting low-quality, promotional, or fake content (misinformation or disinformation), and identifying fake accounts or bad actors (e.g., sock puppets);

Content Sources, Biases and Gaps
* Investigation in content bias and knowledge gaps, and strategies for addressing them on Wikimedia projects;
* Structural elements generating or ameliorating knowledge gaps in open content systems;
* Exploration of diverse source incorporation into Wikimedia projects, such as oral histories, video, and others;
* Understanding and improving the representation of “local content” (geography, cultural context, or history) relevant to different communities;
* Multilingual and multimodal analysis of Wikimedia projects;

Cultures and Communities
* Efforts to improve the representation of endangered and marginalized languages and cultures;
* Incorporation of cultural heritage material (GLAM);
* Representation of systems of knowledge and discursive patterns;

Education
* Strategies for leveraging Wikimedia projects in media literacy interventions, including AI literacy;
* Impact assessments of Wikimedia-based educational initiatives;

Governance and Policy
* Policies, guidelines, and norms influencing the governance of Wikimedia projects, including with the use of AI as a facilitator;
* Understanding core content policies of Wikipedia in action (e.g., Neutral Point of View)
* Privacy, security, and trust related to content creation, maintenance, and consumption;
* Understanding peer production mechanisms of Wikimedia projects;

Research Tools and Methods
* Open-source research code, datasets, and tools supporting Wikimedia-related research;
* Research that develops new datasets and models by leveraging or improving Wikimedia-related artifacts.
* Methods for separating bot/AI versus human behavior in open knowledge platforms such as Wikipedia;

Contact

For questions, send an email to wikiworkshop@googlegroups.com with the tag [Research Track] in the subject line.

Research Track Program Committee chairs:

Kaylea Champion (University of Washington Bothell)
Kristina Gligoric (Johns Hopkins University)