Abstract
The risk of inaccurate information found in a wiki-based site such as Wikipedia is high. In fact, it is a public site, so it is editable by anyone who can enter inaccurate information through malice or ignorance without any kind of control.
 When entering or editing an article, it is recommended to have a clear style without mistakes. So, it is essential to get rid of the mediocre style and respect the rules of writing.
 Even so, it is very remarkable that there are abuses at the style due to the malformed language coming even from people belonging to a more cultured so-cial rank. Therefore, the need to identify the wiki authors’ profiles has become paramount.
 The idea of this article is to offer a quiz game in the intention to classify the language level of wiki authors by using data mining techniques to make groups where each group gets a significant result that we should analyze.
Highlights
It was found that despite the relevance of the Wikipedia system and the rigorous monitoring applied by its Wikipedian administrative community, it remains an unreliable system according to the latest surveys conducted and shows several limitations [1]
The use of the data mining technique in the quiz game provides us with significant findings and may lead to conclude the profile of each author according of his/her answers and the duration to answer all the questions in the Quiz game
The proposed quiz game could be used in many areas to extract the profiles of the authors, especially, in the E-Learning domain which is of high importance and a real recourse in the learning system nowadays
Summary
It was found that despite the relevance of the Wikipedia system and the rigorous monitoring applied by its Wikipedian administrative community, it remains an unreliable system according to the latest surveys conducted and shows several limitations [1]. The human factor has an impact on the validity and reliability of the information in a Wiki system and has a remarkable responsibility on the credibility of the published content. Our work will focus on this subject and we will propose a quiz game to deduce the credibility of wiki authors and their content. A Quiz game is a form of entertainment in which the authors compete in answering questions. The research study aims to identify relevant data from a quiz game answered by authors and the appropriate data mining methods for deduction of authors’ profiles, such as in [2]. The realization of this work will be mainly based on data mining techniques.
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