To be announced
(More speakers to be announced soon—stay tuned!)
Workshop date: April 4, 2017
If authors want paper to appear in proceedings:
If authors do not want paper to appear in proceedings:
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 websites 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 and 2016, we aim to continue facilitating a direct pathway for exchanging ideas between the organization that operates Wikimedia websites and the researchers interested in studying them.
Topics of interest include, but are not limited to
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.
Bob is an assistant professor of Computer Science at EPFL. 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 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 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 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.