Wiki Vandalysis---Wikipedia Vandalism Analysis
Authors | Manoj Harpalani |
|---|---|
Publication date | 2010 |
Links | Original |
Wiki Vandalysis---Wikipedia Vandalism Analysis - scientific work related to Wikipedia quality published in 2010, written by Manoj Harpalani.
Overview
Wikipedia describes itself as the “free encyclopedia that anyone can edit”. Along with the helpful volunteers who contribute by improving the articles, a great number of malicious users abuse the open nature of Wikipedia by vandalizing articles. Deterring and reverting vandalism has become one of the major challenges of Wikipedia as its size grows. Wikipedia editors fight vandalism both manually and with automated bots that use regular expressions and other simple rules to recognize malicious edits[5]. Researchers have also proposed Machine Learning algorithms for vandalism detection[19,15], but these algorithms are still in their infancy and have much room for improvement. This paper presents an approach to fighting vandalism by extracting various features from the edits for machine learning classification. Authors classifier uses information about the editor, the sentiment of the edit, the “quality” of the edit (i.e. spelling errors), and targeted regular expressions to capture patterns common in blatant vandalism, such as insertion of obscene words or multiple exclamations. Authors have successfully been able to achieve an area under the ROC curve (AUC) of 0.91 on a training set of 15000 human annotated edits and 0.887 on a random sample of 17472 edits from 317443.
Embed
Wikipedia Quality
Harpalani, Manoj. (2010). "[[Wiki Vandalysis---Wikipedia Vandalism Analysis]]".
English Wikipedia
{{cite journal |last1=Harpalani |first1=Manoj |title=Wiki Vandalysis---Wikipedia Vandalism Analysis |date=2010 |url=https://wikipediaquality.com/wiki/Wiki_Vandalysis---Wikipedia_Vandalism_Analysis}}
HTML
Harpalani, Manoj. (2010). "<a href="https://wikipediaquality.com/wiki/Wiki_Vandalysis---Wikipedia_Vandalism_Analysis">Wiki Vandalysis---Wikipedia Vandalism Analysis</a>".
