A Comparison of Manual and Automatic Quality Assessment for Wikipedia Articles

Thesis Type Bachelor
Thesis Status
Currently running
Student Ramona Huber
Init
Thesis Supervisor
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Research Field

The use of Wikipedia as a source of information has steadily increased over the years. Wikipedia is a collaborative encyclopedia and therefore gives each user the possibility to correct or modify articles to increase their quality. Additionally, each article's quality is manually assessed by users. In this thesis, Wikipedia articles will be crawled and afterwards analyzed regarding their quality by applying a set of well-established quality metrics. Subsequently, we will analyze differences between the manual and the automated grading of articles to draw conclusions about the relevance of the applied quality metrics.