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Understanding and designing for interactional privacy needs within social networking sites.

机译:了解和设计社交网站内的交互性隐私需求。

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摘要

"Interpersonal boundary regulation" is a way to optimize social interactions when sharing and connecting through Social Networking Sites (SNSs). The theoretical foundation of much of my research comes from Altman's work on privacy management in the physical world. Altman believed that "we should attempt to design responsive environments, which permit easy alternation between a state of separateness and a state of togetherness" (1975). In contrast, Mark Zuckerberg, Facebook's CEO, claims that sharing is the new "social norm" for Facebook's 800 million users (Facebook 2011), and it is Facebook's job to enable "frictionless sharing" (Matyszczyk 2010). My research focuses on reconciling this rift between social media sharing and privacy by examining interpersonal boundary regulation within SNSs as a means to align privacy needs with social networking goals.;To do this, I performed an in-depth feature-oriented domain analysis (Kang, Cohen et al. 1990) across five popular SNS interfaces and 21 SNS user interviews to understand boundary mechanisms unique to these environments and their associated challenges. From this, I created a taxonomy of different interpersonal boundaries users manage within their SNSs, identified interface features that directly supported these boundary mechanisms, and uncovered coping behaviors for when interface features were inadequate or inappropriately leveraged. By better understanding this dynamic, we can begin to build new interfaces to help support and possibly even correct some of the maladaptive social behaviors exhibited within SNSs. Finally, I conducted two empirical studies that quantitatively validated some of the relationships in my theoretical model of the interpersonal boundary regulation process within SNSs. Specifically, I examined the role of risk awareness, feature awareness, burden, and desired privacy level on SNS privacy behaviors. I also examined the relationship between privacy outcomes and SNS goals of connecting and sharing with others. Through this research, I show that boundary regulation allows SNS users to reap the benefits of social networking while simultaneously protecting their privacy.
机译:当通过社交网站(SNS)进行共享和连接时,“人际边界规定”是一种优化社交互动的方式。我大部分研究的理论基础来自于Altman在物理世界中的隐私管理方面的工作。奥特曼(Altman)相信:“我们应该尝试设计响应性环境,以允许在分离状态和团结状态之间轻松地进行选择”(1975年)。相比之下,Facebook首席执行官马克·扎克伯格(Mark Zuckerberg)声称,共享是Facebook的8亿用户的新“社会规范”(Facebook,2011年),这是Facebook的工作,能够实现“无摩擦的共享”(Matyszczyk,2010年)。我的研究重点是通过检查SNS内的人际边界规定来协调社交媒体共享和隐私之间的这种裂痕,以此作为使隐私需求与社交网络目标保持一致的方法。为此,我进行了深入的面向功能的领域分析(Kang ,Cohen et al。1990)跨越五个流行的SNS界面和21个SNS用户访谈,以了解这些环境特有的边界机制及其相关挑战。由此,我创建了一个用户在其SNS中管理的不同人际边界的分类法,确定了直接支持这些边界机制的界面功能,以及当界面功能不足或使用不当时发现的应对行为。通过更好地了解这种动态,我们可以开始构建新的界面,以帮助支持甚至纠正SNS中表现出的某些不良适应性社会行为。最后,我进行了两项实证研究,定量地验证了我在SNS内部人际边界调节过程的理论模型中的某些关系。具体来说,我研究了风险意识,功能意识,负担和所需的隐私级别对SNS隐私行为的作用。我还研究了隐私结果与SNS与他人建立联系和共享之间的关系。通过这项研究,我证明了边界监管使SNS用户可以从社交网络中受益,同时保护其隐私。

著录项

  • 作者

    Wisniewski, Pamela J.;

  • 作者单位

    The University of North Carolina at Charlotte.;

  • 授予单位 The University of North Carolina at Charlotte.;
  • 学科 Psychology Social.;Computer Science.;Sociology Social Structure and Development.;Information Technology.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 291 p.
  • 总页数 291
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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