Edit categorization

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edit categorization is included as keyword or extra keyword in 0 datasets, 0 tools and 3 publications.

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Publications

Title Author(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
Recognizing contributions in wikis: Authorship categories, algorithms, and visualizations Ofer Arazy
Eleni Stroulia
Stan Ruecker
Cristina Arias
Carlos Fiorentino
Veselin Ganev
Timothy Yau
J. Am. Soc. Inf. Sci. Technol. English 2010 0 1
What Did They Do? Deriving High-Level Edit Histories in Wikis Peter Kin-Fong Fong
Robert P. Biuk-Aghai
WikiSym English 2010 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. 11 2
What did they do? Deriving high-level edit histories in wikis Fong P.K.-F.
Biuk-Aghai R.P.
WikiSym 2010 English 2010 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. 0 2