TL;DR
This paper introduces an efficient automatic method to detect severe edit wars in Wikipedia, analyzing various editing behaviors across six language editions to better understand contentious editing conflicts.
Contribution
The paper presents a novel, effective approach for identifying Wikipedia edit wars and evaluates it across multiple language editions, highlighting differences from previous overestimations of contentiousness.
Findings
The method accurately detects severe conflicts in Wikipedia pages.
Edit wars are characterized by distinct editing, reverting, and discussion patterns.
Previous estimates of Wikipedia contentiousness were significantly overestimated.
Abstract
We present a new, efficient method for automatically detecting severe conflicts `edit wars' in Wikipedia and evaluate this method on six different language WPs. We discuss how the number of edits, reverts, the length of discussions, the burstiness of edits and reverts deviate in such pages from those following the general workflow, and argue that earlier work has significantly over-estimated the contentiousness of the Wikipedia editing process.
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