News
- March 19, 2021: All the remaining author notifications are sent.
- March 17, 2021: Registration for Wiki Workshop is now open. Register!
- March 12, 2021: Yolanda Gil is confirmed as our Keynote Speaker.
- March 15, 2021: Catherine Adeya (World Wide Web Foundation) and Denny Vrandečić (Wikimedia Foundation) are confirmed as our panel participants.
- February 1, 2021: The program committee were assigned the papers to review.
- January 29, 2021: Deadline to submit papers to appear in the proceedings of The Web Conference 2021. March 1 is the deadline for all other paper submissions.
- Dec. 14, 2020: Wiki Workshop 2021 will be fully remote.
- Dec. 14, 2020: Wiki Workshop 2021 webpage online.
Schedule
The times in the table below are in UTC. 12:00 UTC is 5:00 in San Francisco, 8:00 in New York City, 15:00 in Nairobi, and 20:00 in Beijing.
| 12:00 - 12:30 | Welcome and icebreaking |
| 12:30 - 13:20 | Featured & lightning talks, Part I |
| 13:20 - 13:25 | Break |
| 13:25 - 13:35 | Music |
| 13:35 - 14:30 | A panel conversation with Catherine Adeya (WWW Foundation) and Denny Vrandečić (Wikimedia Foundation) |
| 14:30 - 14:40 | Break |
| 14:40 - 15:40 | Keynote: Yolanda Gil (ISI, USC) |
| 15:40 - 15:50 | Break |
| 15:50 - 16:00 | Music Break |
| 16:00 - 16:15 | Wikimedia Foundation Research Award of the Year |
| 16:15 - 17:05 | Featured & lightning talks, Part II |
| 17:05 - 17:10 | Wrap up |
| 17:10 - 18:00 | Poster session in breakout rooms |
| 18:00 - 18:30 | The social event |
Invited speakers
Yolanda Gil (ISI, USC)
Bio
Dr. Yolanda Gil is Senior Director for Strategic Artificial Intelligence and Data Science Initiatives at the Information Sciences Institute of the University of Southern California, and Research Professor in Computer Science and in Spatial Sciences. She is also Director of Data Science programs and of the USC Center for Knowledge-Powered Interdisciplinary Data Science. She received her M.S. and Ph. D. degrees in Computer Science from Carnegie Mellon University, with a focus on artificial intelligence. Her research is on intelligent interfaces for knowledge capture and discovery, which she investigates in a variety of projects concerning scientific discovery, knowledge-based planning and problem solving, information analysis and assessment of trust, semantic annotation and metadata, and community-wide development of knowledge bases. Dr. Gil collaborates with scientists in different domains on semantic workflows and metadata capture, social knowledge collection, computer-mediated collaboration, and automated discovery. She is a Fellow of the Association for Computing Machinery (ACM), the Association for the Advancement of Science (AAAS), and the Institute of Electrical and Electronics Engineers (IEEE). She is also Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), and served as its 24th President.
Denny Vrandečić (Wikimedia Foundation)
Bio
Denny Vrandečić is the Head of Special Projects at the Wikimedia Foundation, where he leads the work on Abstract Wikipedia and Wikifunctions. Previously, he worked on the Google Knowledge Graph. He is the founder of Wikidata and co-founder of Semantic MediaWiki. He received a PhD from KIT. He was the founder of the Croatian Wikipedia, and was an elected member of the Wikimedia Foundation Board of Trustees. He has lived in Croatia, Stuttgart, Rome, Los Angeles, Berlin, and now Berkeley.
Catherine Adeya (World Wide Web Foundation)
Bio
Dr. Catherine Adeya is the Director of Research at the World Wide Web Foundation, where she is responsible for coordinating a research team dedicated to interrogating and understanding the most important barriers to achieving our vision of a web that is safe and empowering for everyone. She is an experienced leader, researcher, and advocate with over 20 years working in technology and development with rich experience across academia, civil society, government, and the private sector. Catherine extensive knowledge and is widely published in the ICT for Development sector. She began her career as a Research Fellow at the United Nations University’s Institute for New Technologies in Maastricht, The Netherlands. Driven by a commitment to tackling global inequality, she moved back to Africa due to her belief that the web and digital technologies must be used to expand opportunities and drive development. Catherine is an expert in bilateral and multilateral agency operations with consolidated expertise and excellent skills in research, project planning and execution, finance management and policy development.
Accepted papers
Key dates
Workshop date: April 14, 2021. This year’s workshop will be a virtual event.
If authors want paper to appear in proceedings:
- Submission deadline: January 29, 2021
- Author feedback: February 22, 2021
- Camera ready version due: March 1, 2021
If authors do not want paper to appear in proceedings:
- Submission deadline: March 1, 2021
- Author feedback: March 19, 2021
Call for contributions
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 8 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 20 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).
Submission instructions
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.
- Format: ACM SIG conference proceedings template (use sample-sigconf.pdf as the template)
- Submission site: https://easychair.org/conferences/?conf=wikiworkshop2021
Program committee
- Pushkal Agarwal (King's College London)
- Pablo Beytía (Humboldt Universität zu Berlin)
- Giovanni Colavizza (University of Amsterdam)
- Christine De Kock (University of Cambridge)
- Djellel Difallah (NYU Abu Dhabi)
- Martin Gerlach (Wikimedia Foundation)
- Kristina Gligoric (École polytechnique fédérale de Lausanne)
- Isaac Johnson (Wikimedia Foundation)
- Lucie-Aimée Kaffee (University of Southampton)
- Florian Lemmerich (RWTH Aachen University)
- Cristina Menghini (Brown University)
- Marc Miquel (Amical Viquipèdia)
- Anastasios Noulas (Cambridge University)
- Tiziano Piccardi (Ecole Polytechnique Fédérale de Lausanne)
- Daniele Rama (University of Turin)
- Miriam Redi (Wikimedia Foundation)
- Rossano Schifanella (University of Turin)
- Morten Warncke-Wang (Wikimedia Foundation)
- Bob West (École polytechnique fédérale de Lausanne)
Previous editions
- @ WWW 2020 (Taipei, Taiwan)
- @ WWW 2019 (San Francisco, USA)
- @ WWW 2018 (Lyon, France)
- @ WWW 2017 (Perth, Australia)
- @ WWW 2016 (Montreal, Canada) and ICWSM 2016 (Cologne, Germany)
- @ ICWSM 2015 (Oxford, UK)
Organization
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.
Contact
Please direct your questions to wikiworkshopgooglegroupscom.