Um método automático para estimativa da qualidade de enciclopédias colaborativas on-line: um estudo de caso sobre a Wikipédia
|Um método automático para estimativa da qualidade de enciclopédias colaborativas on-line: um estudo de caso sobre a Wikipédia|
|Author(s)||Daniel Hasan Dalip|
|Keyword(s)||Quality Assessment, Wikipedia, Machine Learning, SVM|
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|Browse properties · List of bachelor's theses|
The old dream of a universal repository containing all the human knowledge and culture is becoming possible through the Internet and the Web. Moreover, this is happening with the direct collaborative, participation of people. Wikipedia is a great example. It is an enormous repository of information with free access and edition, created by the community in a collaborative manner. However, this large amount of information, made available democratically and virtually without any control, raises questions about its relative quality. In this work we explore a significant number of quality indicators, some of them proposed by us and used here for the first time, and study their capability to assess the quality of Wikipedia articles. Furthermore, we explore machine learning techniques to combine these quality indicators into one single assessment judgment. Through experiments, we show that the most important quality indicators are the easiest ones to extract on a open digital library, namely, textual features related to length, structure and style. We were also able to determine which indicators did not contribute significantly to the quality assessment. These were, coincidentally, the most complex features, such as those based on link analysis. Finally, we compare our combination method with state-of-the-art solutions and show significant improvements in terms of effective quality prediction.
This publication has 11 references. Only those references related to wikis are included here:
- "Automatic Quality Assessment of Content Created Collaboratively by Web Communities: A Case Study of Wikipedia"
- "Calculating the trustworthiness of a Wikipedia article using DANTE methodology" (create it!)
- "Exploring the feasibility of automatically rating online article quality" (create it!)
- "Access, claims and quality on the internet - future challenges" (create it!)
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