隐私行为是如何形成的?信息隐私行为因素研究现状与综合综述

I. Paspatis, A. Tsohou, S. Kokolakis
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引用次数: 0

摘要

影响信息通信技术(ICT)用户隐私行为的因素是什么?几项研究表明,用户表示关心他们的个人数据。但与此相反,它们执行不安全的隐私操作,例如忽略配置隐私设置。在本研究中,我们对影响隐私行为的因素进行了深入的文献综述。我们试图调查影响数字领域中个人隐私意识行为的潜在因素,以及促进此类行为的有效干预措施。关于披露个人信息的隐私决定可能对个人生活产生负面影响,例如成为身份盗窃、冒充等的受害者。此外,第三方可能会利用这些信息为自己谋取利益,例如有针对性的广告做法。通过识别可能影响SNS用户隐私意识的因素,我们可以帮助创建有效的隐私保护和/或以用户为中心的设计方法。通过研究几项研究的结果,我们发现了隐私行为受到多种因素影响的证据,包括个人因素(如人口统计学)和环境因素(如金融交易)。我们综合了一个框架,该框架汇集了文献中发现的影响隐私行为的分散因素。我们的框架对私营和公共部门的学者和从业人员都是有益的。例如,学者可以利用我们的发现来创建专门的信息隐私课程和理论或实验模块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Is Privacy Behavior Formulated? A Review of Current Research and Synthesis of Information Privacy Behavioral Factors
What influences Information Communications and Technology (ICT) users’ privacy behavior? Several studies have shown that users state to care about their personal data. Contrary to that though, they perform unsafe privacy actions, such as ignoring to configure privacy settings. In this research, we present the results of an in-depth literature review on the factors affecting privacy behavior. We seek to investigate the underlying factors that influence individuals’ privacy-conscious behavior in the digital domain, as well as effective interventions to promote such behavior. Privacy decisions regarding the disclosure of personal information may have negative consequences on individuals’ lives, such as becoming a victim of identity theft, impersonation, etc. Moreover, third parties may exploit this information for their own benefit, such as targeted advertising practices. By identifying the factors that may affect SNS users’ privacy awareness, we can assist in creating methods for effective privacy protection and/or user-centered design. Examining the results of several research studies, we found evidence that privacy behavior is affected by a variety of factors, including individual ones (e.g., demographics) and contextual ones (e.g., financial exchanges). We synthesize a framework that aggregates the scattered factors that have been found in the literature to affect privacy behavior. Our framework can be beneficial to academics and practitioners in the private and public sectors. For example, academics can utilize our findings to create specialized information privacy courses and theoretical or laboratory modules.
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