社交媒体数据质量评估模型

Oumaima Reda, A. Zellou
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引用次数: 2

摘要

社交媒体已经在人们的生活中占据了主导地位,因为它不仅仅是个人之间的交流方式。他们经常在社交媒体网站上分享他们的日常活动、经历,交换兴趣和意见,从而产生了可供消费者使用的大量信息。然而,减少发布障碍、无运营成本和易于使用的交互界面结合在一起,在社交媒体中产生了各种数据质量问题,使得难以获得相关、及时和准确的数据。鉴于用户越来越多地使用社交媒体来获取第一手的新闻和信息,他们需要过滤大量的数据来达到最满足他们的要求,因此我们可以说这个过程更多的是定性而不是定量。本文提出了一种针对社交媒体数据质量模型的数据质量维度的新分类,称为SMDQM(社交媒体数据质量模型),为此讨论了社交媒体数据的质量,然后介绍了创建我们的模型SMDQM所涉及的步骤。这一尝试将通过考虑和讨论社交媒体和数据质量领域的最新技术来建立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SMDQM-Social Media Data Quality Assessment Model
Social media has taken a dominant place in people's lives since it become more than just a mode of communication between individuals. They regularly share their daily activities, experiences, and exchange interests and opinions on social media sites, leading to a flood of information that can be used by consumers. However, the reduced posting barriers, no operational costs and easy-to-use interactive interfaces have combined to create a variety of data quality issues in social media, making it difficult to obtain relevant, timely and accurate data. Given the increasing use of social media by users to obtain news and information first hand, they are required to filter a significant volume of data to reach the most satisfying to their request, therefore we can say that the process is more qualitative than quantitative. This paper proposes a new classification of data quality dimensions towards a social media data quality model called SMDQM(Social Media Data Quality Model), for this the quality of social media data is discussed, then we present the steps involved to create our model SMDQM. This attempt will be established by considering and discussing a state of the art in the field of social media and data quality.
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