Add to ORKGWe present a new, efficient method for automatically de-tecting conflict cases and test it on five different language Wikipedias. We discuss how the number of edits, reverts, the length of discussions deviate in such pages from those following the general workflow. Categories and Subject Descriptor
This dataset was analyzed and produced during the study described in the paper "Understanding and Pr...
International audienceWith the exponential development of the Internet, new discourse genres and sit...
In this paper, we present a study of the collaborative writing process in Wikipedia. Our work is bas...
Abstract—We present a new, efficient method for automatically detecting severe conflicts, ‘edit wars...
Wikipedia serves as the Internet\u27s most widely viewed reference. In order to ensure its success, ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
<div><p>In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on o...
International audienceThe present study concentrates on Wikipedia talk pages, which are online discu...
Wikipedia serves as the Internet\u27s most widely viewed reference. In order to ensure its success, ...
In this paper, we analyze a novel set of features for the task of automatic edit category classifica...
In this paper, we analyze a novel set of features for the task of automatic edit category classifica...
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group o...
This dataset was analyzed and produced during the study described in the paper "Understanding and Pr...
International audienceWith the exponential development of the Internet, new discourse genres and sit...
In this paper, we present a study of the collaborative writing process in Wikipedia. Our work is bas...
Abstract—We present a new, efficient method for automatically detecting severe conflicts, ‘edit wars...
Wikipedia serves as the Internet\u27s most widely viewed reference. In order to ensure its success, ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on our previ...
<div><p>In this work we study the dynamical features of editorial wars in Wikipedia (WP). Based on o...
International audienceThe present study concentrates on Wikipedia talk pages, which are online discu...
Wikipedia serves as the Internet\u27s most widely viewed reference. In order to ensure its success, ...
In this paper, we analyze a novel set of features for the task of automatic edit category classifica...
In this paper, we analyze a novel set of features for the task of automatic edit category classifica...
What is the boundary between a vigorous argument and a breakdown of relations? What drives a group o...
This dataset was analyzed and produced during the study described in the paper "Understanding and Pr...
International audienceWith the exponential development of the Internet, new discourse genres and sit...
In this paper, we present a study of the collaborative writing process in Wikipedia. Our work is bas...