Wiki Workshop 2018

A forum bringing together researchers exploring all aspects of Wikipedia, Wikidata, and other Wikimedia projects. Held at The Web Conference 2018 in Lyon, France, April 24, 2018.

  • Dec. 12, 2017: Gerhard Weikum confirmed as invited speaker.
  • Dec. 11, 2017: Markus Krötzsch confirmed as invited speaker.
  • Dec. 6, 2017: Jon Kleinberg confirmed as invited speaker.
  • Dec. 6, 2017: Wiki Workshop 2018 webpage online.

We will have a series of invited talks by academia and industry experts, as well as a combination of lightning talks and a poster session for the accepted papers.

Details to be determined.

(More speakers to be announced soon—stay tuned!)

Jon Kleinberg (Cornell University)

Title and abstract to be announced

Jon is a professor at Cornell University. His research focuses on issues at the interface of networks and information, with an emphasis on the social and information networks that underpin the Web and other on-line media. His work has been supported by an NSF Career Award, an ONR Young Investigator Award, a MacArthur Foundation Fellowship, a Packard Foundation Fellowship, a Simons Investigator Award, a Sloan Foundation Fellowship, and grants from Facebook, Google, Yahoo!, the ARO, and the NSF. He is a member of the National Academy of Sciences, the National Academy of Engineering, and the American Academy of Arts and Sciences.

Markus Krötzsch (Technische Universität Dresden)

Title and abstract to be announced

Markus is a full professor at the Faculty of Computer Science of the Technical University of Dresden, where he is holding the chair for Knowledge-Based Systems. He obtained his Ph.D. from the Institute of Applied Informatics and Formal Description Methods (AIFB) of Karlsruhe Institute of Technology (KIT) in 2010, and thereafter worked as a researcher and departmental lecturer at the Department of Computer Science of the University of Oxford until October 2013. From November 2013 till his appointment as a professor in July 2016, he was leading an Emmy Noether research group at TU Dresden. Markus has made important contributions to the development of Wikipedia's free knowledge base Wikidata, the highly efficient ELK reasoner for OWL EL, to the popular semantic content management system Semantic MediaWiki, and to the widely used W3C OWL 2 standard. His research has contributed to the fields of lightweight and rule-based ontology languages, query answering, reasoning complexity, and content management and integration platforms for the Web of Data.

Gerhard Weikum (Max Planck Institute for Informatics, Saarbrücken)

Title and abstract to be announced

Gerhard is a Research Director at the Max Planck Institute for Informatics (MPII) in Saarbrücken, Germany, where he is leading the department on databases and information systems. He is also an adjunct professor in the Department of Computer Science of Saarland University in Saarbrücken, Germany, and he is a principal investigator of the Cluster of Excellence on Multimodal Computing and Interaction. Gerhard's research spans transactional and distributed systems, self-tuning database systems, data and text integration, and the automatic construction of knowledge bases. He co-authored a comprehensive textbook on transactional systems, received the VLDB 10-Year Award for his work on automatic DB tuning, and is one of the creators of the YAGO knowledge base.

Workshop date: April 24, 2018

If authors want paper to appear in proceedings:

  • Submission deadline: January 28, 2018
  • Author feedback: February 14, 2018
  • Camera-ready version due: March 4, 2018

If authors do not want paper to appear in proceedings:

  • Submission deadline: March 11, 2018
  • Author feedback: March 25, 2018
Note: If you need a visa to travel to France and your application for the visa depends on your workshop paper being accepted, we would advise you to submit your workshop paper by the January 28 deadline.

Wikipedia is one of the most popular sites on the Web, a main source of knowledge for a large fraction of Internet users, and one of the very few projects that make not only their content but also many activity logs available to the public. Furthermore, other Wikimedia projects, such as Wikidata and Wikimedia Commons, have been created to share other types of knowledge with the world for free. For a variety of reasons (quality and quantity of content, reach in many languages, process of content production, availability of data, etc.) such projects have become important objects of study for researchers across many subfields of the computational and social sciences, such as social network analysis, artificial intelligence, linguistics, natural language processing, social psychology, education, anthropology, political science, human–computer interaction, and cognitive science.

The goal of this workshop is to bring together researchers exploring all aspects of Wikimedia projects such as Wikipedia, Wikidata, and Commons. With members of the Wikimedia Foundation's Research team on the organizing committee and with the experience of successful workshops in 2015, 2016, and 2017, we aim to continue facilitating a direct pathway for exchanging ideas between the organization that coordinates Wikimedia projects and the researchers interested in studying them.

Topics of interest include, but are not limited to

  • new technologies and initiatives to grow content, quality, 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 Wikimedia editors and users
  • detection of low-quality, promotional, or fake content, 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
  • 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 workshop proceedings. Authors whose papers are accepted to the workshop will have the opportunity to participate in a 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.

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.

Leila Zia

Leila is a senior research scientist 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.

Dario Taraborelli

Dario is a social computing researcher and the Wikimedia Foundation's Head of Research. His current interests focus on online collaboration, open science, and the measurement and discoverability of scientific knowledge. He holds a PhD in cognitive science from the École des Hautes Études en Sciences Sociales.

Jure Leskovec

Jure is an associate professor of Computer Science at Stanford University. His research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. Problems he investigates are motivated by large scale data, the Web and online media.

Please direct your questions to wikiworkshopgooglegroupscom.