Flexible Diff-ing in a collaborative writing system
CSCW '92 Proceedings of the 1992 ACM conference on Computer-supported cooperative work
The string-to-string correction problem with block moves
ACM Transactions on Computer Systems (TOCS)
Adaptive multilingual sentence boundary disambiguation
Computational Linguistics
Studying cooperation and conflict between authors with history flow visualizations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A content-driven reputation system for the wikipedia
Proceedings of the 16th international conference on World Wide Web
Proceedings of the 2007 international symposium on Wikis
Structuring wiki revision history
Proceedings of the 2007 international symposium on Wikis
Wiki: Web Collaboration
rv you're dumb: identifying discarded work in Wiki article history
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Organizing the vision for web 2.0: a study of the evolution of the concept in Wikipedia
Proceedings of the 5th International Symposium on Wikis and Open Collaboration
Measuring author contributions to the Wikipedia
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
A method for measuring co-authorship relationships in MediaWiki
WikiSym '08 Proceedings of the 4th International Symposium on Wikis
Link spamming Wikipedia for profit
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
Visualizing author contribution statistics in Wikis using an edit significance metric
Proceedings of the 7th International Symposium on Wikis and Open Collaboration
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Future Generation Computer Systems
Mutual evaluation of editors and texts for assessing quality of Wikipedia articles
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration
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Future Generation Computer Systems
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Wikis have become a popular online collaboration platform. Their open nature can, and indeed does, lead to a large number of editors of their articles, who create a large number of revisions. These editors make various types of edits on an article, from minor ones such as spelling correction and text formatting, to major revisions such as new content introduction, whole article re-structuring, etc. Given the enormous number of revisions, it is difficult to identify the type of contributions made in these revisions through human observation alone. Moreover, different types of edits imply different edit significance. A revision that introduces new content is arguably more significant than a revision making a few spelling corrections. By taking edit types into account, better measurements of edit significance can be produced. This paper proposes a method for categorizing and presenting edits in an intuitive way and with a flexible measure of significance of each individual editor's contributions.