University of Oxford
Thursday 12th June 2014, 4:35pm
TWITTER | @TahaYasseri
TITLE | Armies in the lab: Studying conflicts and opinion clashes in Wikipedia
ABSTRACT | Wikipedia is not only the largest online encyclopaedia ever, but also a notable example of internet-based collaborative value production. However, there are many unanswered questions about the mechanisms behind the process of article formation in Wikipedia, such as emergence and resolution of editorial wars. In this work, we try to locate, quantify, and understand the features of editorial wars in details. To this end, we focus on the network of editors of certain articles, who are connected by anti-collaboration links, i.e., reverting edits. Then we introduce a measure of controversy based on the parameters of the revert network, which ranks the articles according to the “amount of conflict” in them. We observe different scenarios of edit wars with various characteristics and ways to approach to consensus, which we successfully model in the agent-based-modelling framework. Finally, we try to reveal leader/follower relationships between editors and its effects on editorial wars as well as triangular closures between triples of editors.
BIOGRAPHY | Taha Yasseri (PhD in Physics) is the Big Data Research Officer at the University of Oxford’s Internet Institute (OII). Prior to the OII, he spent two years as a postdoctoral researcher at the Budapest University of Technology and Economics, working on the socio-physical aspects of the community of Wikipedia editors, focusing on conflict and editorial wars, along with Big Data analysis to understand human dynamics, language complexity, and popularity spread. He has interests in analysis of Big Data to understand human dynamics, government-society interactions, mass collaboration, and opinion dynamics within the framework of computational Social science. He has a PhD degree from university of Göttingen, Germany in complex systems physics.