Hi everyone, 

Wiki Workshop, the largest Wikimedia research event of the year now in its 12th edition, will take place as a standalone virtual event on May 21-22, 2025 [1]. 

The call for papers for the workshop is now open [2]: We would like to invite you to submit your 2-page extended abstracts. All submissions are non-archival, which means you can submit ongoing, completed, and already published works. See below for the full call.
Deadline for submission is March 9, 2025 (23:59 AoE).

If you have questions about the workshop, please don't hesitate to reach out to us at wikiworkshop@googlegroups.com

Best,

Martin, on behalf of the organizers

[1] https://meta.wikimedia.org/wiki/Wiki_Workshop_2025

Call for papers

Workshop PC Chairs:

Martin Gerlach (Wikimedia Foundation)

Matthew Vetter (Indiana University of Pennsylvania)

We invite contributions to the Research Track of the 12th edition of Wiki Workshop, which will take place virtually on May 21-22, 2025 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. 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.

Building on the successful experiences of organizing Wiki Workshop in 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024 and based on feedback from authors and participants over the years, this year’s Research Track is organized as follows:

• 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.

Important Dates

• Submission deadline: March 9, 2025 (23:59 AoE)

• Author notification: April 14, 2025

• Final version due: April 30, 2025 (23:59 AoE)

• Workshop date: May 21-22, 2025

Submission Instructions

Similar to previous editions, this year’s Wiki Workshop solicits 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

• Submission site on OpenReview

Topics

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

• Use of bots, algorithms, and crowdsourcing methods for content curation, sourcing, or verification of content and structured data;

• Innovative uses of Wikipedia and other Wikimedia projects for AI and NLP applications;

• Approaches to develop AI-assisted workflows to support editors in content moderation, patrolling, and maintenance;

• 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 experience;

• 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;

• Investigation in content bias and knowledge gaps, and strategies for addressing them on Wikimedia projects;

• Examination of content reuse dynamics within and beyond Wikimedia projects;

• New technologies and initiatives to grow content, quality, equity, diversity, and participation 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);

• 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;

• Strategies for leveraging Wikimedia projects in media literacy interventions;

• Impact assessments of Wikimedia-based educational initiatives;

• Policies, guidelines, and norms influencing the governance of Wikimedia projects;

• Privacy, security, and trust related to content creation, maintenance, and consumption;

• Understanding peer production mechanisms of Wikimedia projects;

• The interplay between Wikimedia projects and the broader (open) knowledge ecosystem including interactions with other online platforms;

• Innovative uses of Wikimedia projects as indicators for real-world events, cultural trends, technological or scientific advancements, and beyond;

• Open-source research code, datasets, and tools supporting Wikimedia-related research.