Wiki Workshop 2021

A forum bringing together researchers exploring all aspects of Wikimedia projects. Held virtually at The Web Conference 2021, April 2021.

  • Dec. 14, 2020: Wiki Workshop 2021 will be fully remote.
  • Dec. 14, 2020: Wiki Workshop 2021 webpage online.

Check back in January!

Workshop date: TBD. 2021’s workshop will be online only and will take place In the week of April 19-23, 2021.

If authors want paper to appear in proceedings:

  • Submission deadline: January 29th, 2021
  • Author feedback: February 18th, 2021
  • Camera Ready: Subject to change. Tentatively March 1st, 2021

If authors do not want paper to appear in proceedings:

  • Submission deadline: March 1st, 2021
  • Author feedback: March 19th, 2021

We invite contributions to Wiki Workshop 2021 which will take place virtually and as part of The Web Conference 2021. Wiki Workshop, now in its 8th edition, is an annual research event aimed at bringing together researchers who explore all aspects of the Wikimedia projects including Wikipedia (in more than 160 actively edited languages), Wikidata, Wikimedia Commons, Wiktionary, and beyond. With members of the Wikimedia Foundation's Research team on the organizing committee and with the experience of successful workshops in 2015, 2016, 2017, 2018, 2019, and 2020, we aim to continue facilitating a direct pathway for exchanging ideas between the organization that serves Wikimedia projects and the researchers interested in studying them.

This year’s edition of the workshop will celebrate the 20th birthday of Wikipedia.

Topics of interest include, but are not limited to

  • new technologies and initiatives to grow content, quality, equity, diversity, and participation across Wikimedia projects
  • use of bots, algorithms, and crowdsourcing strategies to curate, source, or verify content and structured data
  • bias in content and gaps of knowledge
  • diversity of the Wikimedia editors and users
  • detection of low-quality, promotional, or fake content (misinformation or disinformation), as well as fake accounts (e.g., sock puppets)
  • questions related to community health (e.g., sentiment analysis, harassment detection)
  • understanding editor motivations, engagement models, and incentives
  • Wikimedia consumer motivations and their needs: readers, researchers, tool/API developers
  • innovative uses of Wikipedia and other Wikimedia projects for AI and NLP applications
  • consensus-finding and conflict resolution on editorial issues
  • participation in discussions and their dynamics
  • dynamics of content reuse across projects and the impact of policies and community norms on reuse
  • privacy, security, and trust
  • collaborative content creation (unstructured, semi-structured, or structured)
  • innovative uses of Wikimedia projects' content and consumption patterns as sensors for real-world events, culture, etc.
  • open-source research code, datasets, and tools to support research on Wikimedia contents and communities

Papers should be 1 to 8 pages long and will be published on the workshop webpage and optionally (depending on the authors' choice) in the proceedings of the Web Conference 2021. The review process will be single-blind (as opposed to double-blind), i.e., authors should include their names and affiliations in their submissions. Authors whose papers are accepted to the workshop will have the opportunity to present their work to the workshop attendees as part of the workshop’s poster session.

We explicitly encourage the submission of preliminary work in the form of extended abstracts (1 or 2 pages).

Papers should be 1 to 8 pages long. We explicitly encourage the submission of preliminary work in the form of extended abstracts (1 or 2 pages). No need to anonymize your submissions.

For submission dates, see above.

Coming soon!

Miriam Redi

Miriam is a Research Scientist at the Wikimedia Foundation and Visiting Research Fellow at King's College London. Formerly, she worked as a Research Scientist at Yahoo! Labs in Barcelona and Nokia Bell Labs in Cambridge. She received her PhD from EURECOM, Sophia Antipolis. She conducts research in social multimedia computing, working on fair, interpretable, multimodal machine learning solutions to improve knowledge equity.

Leila Zia

Leila is the Head of Research at the Wikimedia Foundation. Her current research interests are on understanding Wikipedia's readers, quantifying and addressing the gaps of knowledge in Wikipedia and Wikidata, and understanding and improving diversity in Wikipedia. She holds a PhD in management science and engineering from Stanford University.

Robert West

Bob is an assistant professor of Computer Science at EPFL, where he heads the Data Science Lab. His research aims to understand, predict, and enhance human behavior in social and information networks by developing techniques in data science, data mining, network analysis, machine learning, and natural language processing. He holds a PhD in computer science from Stanford University.

Please direct your questions to wikiworkshopgooglegroupscom.