Social Media Mining: Impact of the Business Model and Privacy Settings

Carsten Ellwein, Ben Noller
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引用次数: 2

Abstract

Social media platforms have changed our lives and it is unimaginable to do without them nowadays. A large quantity of data is created that way every day; information gathered through data mining on the basis of this data is used for important decisions. The source of this social media mining has not been questioned abundantly enough in recent research. This paper represents a case study on the influence of the business model and privacy settings behind a social media platform onto the results of data mining built upon the data of these services. The social media platforms focused upon in this case are Facebook (FB) and Twitter.
社交媒体挖掘:商业模式和隐私设置的影响
社交媒体平台改变了我们的生活,如今没有它们是无法想象的。每天都有大量的数据以这种方式产生;通过基于这些数据的数据挖掘收集的信息用于重要的决策。在最近的研究中,这种社交媒体挖掘的来源并没有受到足够多的质疑。本文代表了一个关于社交媒体平台背后的商业模式和隐私设置对基于这些服务数据的数据挖掘结果的影响的案例研究。这起案件关注的社交媒体平台是Facebook和Twitter。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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