Difference between revisions of "Patterns of Markup Use in Wikipedia"
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| + | | title = Patterns of Markup Use in Wikipedia | ||
| + | | date = 2017 | ||
| + | | authors = [[Jonathan Martin]]<br />[[D. F. Torres]]<br />[[Alejandro Fernández]] | ||
| + | | doi = 10.1109/sccc.2017.8405114 | ||
| + | | link = https://ieeexplore.ieee.org/abstract/document/8405114 | ||
| + | }} | ||
'''Patterns of Markup Use in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Jonathan Martin]], [[D. F. Torres]] and [[Alejandro Fernández]]. | '''Patterns of Markup Use in Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Jonathan Martin]], [[D. F. Torres]] and [[Alejandro Fernández]]. | ||
== Overview == | == Overview == | ||
Wikipedia is a knowledge building community that lets anyone create and edit articles. While editing articles, users employ visual structure elements (VSE) to format content. VSEs are part of the [[Wikipedia]] markup language. All creation and editing events are recorded in a revision history. An unsupervised learning approach was used to analyze a dataset with more than 2,000,000 revisions of 126,000 articles. Using K-Means clustering and association rules mining a general classification of revisions was derived. Relevant classes include vandalism revisions, correction revisions and common revisions. Each class was later studied, and patterns of usage of markups elements identified. Those results help to identify the user intention, and the knowledge of VSE use could contribute to improving the actual text editors provide by Wikipedia to improve the editor's activity finally. | Wikipedia is a knowledge building community that lets anyone create and edit articles. While editing articles, users employ visual structure elements (VSE) to format content. VSEs are part of the [[Wikipedia]] markup language. All creation and editing events are recorded in a revision history. An unsupervised learning approach was used to analyze a dataset with more than 2,000,000 revisions of 126,000 articles. Using K-Means clustering and association rules mining a general classification of revisions was derived. Relevant classes include vandalism revisions, correction revisions and common revisions. Each class was later studied, and patterns of usage of markups elements identified. Those results help to identify the user intention, and the knowledge of VSE use could contribute to improving the actual text editors provide by Wikipedia to improve the editor's activity finally. | ||
Revision as of 08:25, 6 August 2019
Authors | Jonathan Martin D. F. Torres Alejandro Fernández |
|---|---|
Publication date | 2017 |
DOI | 10.1109/sccc.2017.8405114 |
Links | Original |
Patterns of Markup Use in Wikipedia - scientific work related to Wikipedia quality published in 2017, written by Jonathan Martin, D. F. Torres and Alejandro Fernández.
Overview
Wikipedia is a knowledge building community that lets anyone create and edit articles. While editing articles, users employ visual structure elements (VSE) to format content. VSEs are part of the Wikipedia markup language. All creation and editing events are recorded in a revision history. An unsupervised learning approach was used to analyze a dataset with more than 2,000,000 revisions of 126,000 articles. Using K-Means clustering and association rules mining a general classification of revisions was derived. Relevant classes include vandalism revisions, correction revisions and common revisions. Each class was later studied, and patterns of usage of markups elements identified. Those results help to identify the user intention, and the knowledge of VSE use could contribute to improving the actual text editors provide by Wikipedia to improve the editor's activity finally.
