Maintaining a Consistent Representation of Self across Multiple Social Networking Sites -- A Data-centric Perspective

Moritz Riesner, G. Pernul
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引用次数: 4

Abstract

The rising pervasiveness and use of sensitive data on Social Networking Sites (SNS) requires careful consideration of one's privacy while using such sites. Also, users faced with a multitude of online contacts from various areas of life feel the need to create multiple representations of self and keeping them consistent. The difficulty of this task is compounded by the use of multiple SNS. We argue that for maintaining a consistent representation of self across multiple SNS, it needs to be carefully analyzed how personal attributes, which make up the online identity, are implemented and stored on each site. In this paper, we analyze criteria to classify how attributes and their values are implemented at SNS. Then, we present a structured approach to transform attribute values for use on multiple SNS. We evaluate the approach by applying it to selected attributes of major SNS.
在多个社交网站中保持自我的一致表现——以数据为中心的视角
随着社交网站(SNS)上敏感数据的日益普及和使用,在使用这些网站时需要仔细考虑个人隐私。此外,面对来自生活各个领域的大量在线联系人,用户感到有必要创建多种自我表示并保持一致。这个任务的难度由于使用多个SNS而变得更加复杂。我们认为,为了在多个SNS中保持一致的自我表现,需要仔细分析构成在线身份的个人属性是如何在每个网站上实现和存储的。在本文中,我们分析了分类属性及其值如何在SNS上实现的标准。然后,我们提出了一种结构化的方法来转换属性值,以便在多个SNS上使用。我们通过将其应用于主要SNS的选定属性来评估该方法。
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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