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A QualitQuality Assurance Model for Information in Wikis

机译：Wiki中的信息质量质量保证模型

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摘要

As articles grow rapidly in Wikis, the quality of articles has aroused many people's concern. The topic on how to control the quality of articles have attracted many scientists. One of their major viewpoint is that the Wiki can guarantee the quality of articles as long as many users are attracted to contribute generously to the articles. But, we examine all data of 82713 articles in Baidu Baike and find that although there are thousands of editors, more than half of the articles have not been edited since they were created. There is no doubt that the quality of these articles can not be guaranteed. Hence, a good mechanism for improving the quality of articles is essential in Wikis. In this light, the authors proposes a model that control the quality of articles in Wikis. The model contains two-step framework. First, the training system for new editors is introduced to the model, in which the new registers are required to edit one article which is recommended to the new user according to his interest. Second, after editing, the articles will be pushed to other experienced users.
机译：随着Wiki中文章的快速增长，文章的质量引起了很多人的关注。如何控制文章质量的话题吸引了许多科学家。他们的主要观点之一是，只要吸引许多用户慷慨地贡献文章，Wiki就可以保证文章的质量。但是，我们检查了百度百科中82713篇文章的所有数据，发现尽管有成千上万的编辑者，但超过一半的文章自创建以来就没有被编辑过。毫无疑问，这些物品的质量无法得到保证。因此，在Wiki中，一种提高文章质量的良好机制至关重要。有鉴于此，作者提出了一个控制Wiki中文章质量的模型。该模型包含两步框架。首先，该模型引入了针对新编辑的培训系统，其中新注册者需要编辑一篇文章，该文章根据新用户的兴趣推荐给新用户。其次，编辑后，文章将被推送给其他有经验的用户。

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