Wiki Workshop 2021

A forum bringing together researchers exploring all aspects of Wikimedia projects. Held virtually at The Web Conference 2021, April 14, 2021.

  • 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.

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

Yolanda Gil (ISI, USC)

Yolanda Gil

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)

Denny Vrandečić

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)

Catherine Adeya

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.

Lucie-Aimée Kaffee and Hady Elsahar
References in Wikipedia: The Editors’ Perspective
Jérôme Hergueux, Yann Algan, Yochai Benkler and Mayo Fuster-Morell
Do I Trust this Stranger? Generalized Trust and the Governance of Online Communities
Hiba Arnaout, Simon Razniewski, Gerhard Weikum and Jeff Z.Pan
Negative Knowledge for Open-world Wikidata
Ankan Ghosh Dastider
A Brief Analysis of Bengali Wikipedia's Journey to 100,000 Articles
Elad Vardi, Lev Muchnik, Alex Conway and Micha Breakstone
WikiShark: An online tool for analyzing Wikipedia traffic and trends
Amit Arjun Verma, Neeru Dubey, S.R.S. Iyengar and Simran Setia
Tracing the Factoids: the Anatomy of Information Re-organization in Wikipedia Articles
Naser Ahmadi and Paolo Papotti
Wikidata Logical Rules and Where to Find Them (Extended abstract)
Marc Miquel Ribé, David Laniado and Andreas Kaltenbrunner
Local Content Matters: Insights on Wikipedia Editor and Reader Engagement
Toni Hermoso Pulido
Simple Wikidata analysis for promoting, tracking and improving new articles in Catalan Wikipedia
Anamika Chhabra, Shubham Srivastava, S.R.S. Iyengar and Poonam Saini
Structural Analysis of Wikigraph to Investigate Quality Grades of Wikipedia Articles
David Semedo
Towards Open-domain Vision and Language Understanding with Wikimedia
Isaac Johnson, Martin Gerlach and Diego Sáez-Trumper
Language-agnostic Topic Classification for Wikipedia
Philipp Scharpf, Moritz Schubotz and Bela Gipp
Fast Linking of Mathematical Wikidata Entities in Wikipedia Articles Using Annotation Recommendation
John Samuel
ShExStatements: Simplifying Shape Expressions for Wikidata
Sebastian Brückner, Markus Strohmaier and Florian Lemmerich
Inferring sociodemographic attributes of Wikipedia editors
Oscar Araque, Lorenzo Gatti and Kyriaki Kalimeri
The Language of Liberty
Changwook Jung, Inho Hong, Diego Saez-Trumper, Damin Lee, Jaehyeon Myung, Danu Kim, Jinhyuk Yun, Woo-Sung Jung and Meeyoung Cha
Information flow on COVID-19 over Wikipedia:A case study of 11 languages
Karthic Madanagopal and James Caverlee
Towards Ongoing Detection of Linguistic Bias on Wikipedia
Khandaker Tasnim Huq and Giovanni Luca Ciampaglia
Characterizing Opinion Dynamics and Group Decision Making in Wikipedia Content Discussions
Luis Couto and Carla Lopes
Assessing the quality of health-related Wikipedia articles with generic and specific metrics
Sneha Puthiya Purayil
Languages of Knowledge Infrastructures: Learnings from Research on Indian Language Wikimedia Projects
Marc Miquel-Ribé, Cristian Consonni and David Laniado
Wikipedia Editor Drop-Off: A Framework to Characterize Editors' Inactivity
Bhuvana Meenakshi Koteeswaran
Bridging the Gender Gap: A research study on Indian Language Wikimedia Communities

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

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).

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.

  • 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)

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.