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首页> 外文期刊>Journal of Cyber Security and Mobility >Social Network Self-Protection Model:What Motivates Users to Self-Protect?
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Social Network Self-Protection Model:What Motivates Users to Self-Protect?

机译：社交网络自我保护模型：什么促使用户自我保护？

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摘要

Social networks are an indispensable activity for billions of users making them an attractive target for cyberattacks. There is however only scarce research on self-protection of individuals outside the organizational context. This study aims to address this gap by explaining what motivates individuals to self-protect on social networks. A survey (N = 274) has been conducted among Slovenian Facebook users to test the proposed social network self-protection model. The results show that privacy concerns and perceived threats significantly affect user’s intention to self-protect. Descriptive norm only affects intention indirectly through perceived threats appearing to contradict a large body of research on behavioral intentions. “If others protect themselves, there must be a serious threat.” On the other hand, it also helps to explain why the direct effect of descriptive norm on security-related behavior is relatively small in other studies. Surveillance concerns, regulation and information sensitivity all significantly affect privacy concerns. Although privacy concerns are currently high due to the recent high-profile privacy-related scandals (e.g., Cambridge Analytica, Facebook, Google+), it may not affect the motivation of users to self-protect as they dealt with issues far beyond their control.
机译：社交网络是数十亿用户必不可少的活动，使它们成为网络攻击的诱人目标。但是，只有很少的研究涉及组织范围之外的个人自我保护。本研究旨在通过解释促使个人在社交网络上自我保护的动机来解决这一差距。在斯洛文尼亚Facebook用户中进行了一项调查（N = 274），以测试建议的社交网络自我保护模型。结果表明，隐私问题和感知到的威胁会严重影响用户的自我保护意图。描述性规范仅通过似乎与行为意向的大量研究相矛盾的感知威胁来间接影响意向。 “如果其他人保护自己，那么肯定会构成严重威胁。”另一方面，它也有助于解释为什么描述性规范对安全相关行为的直接影响相对较小。监视问题，法规和信息敏感性均会严重影响隐私问题。尽管由于最近备受关注的与隐私相关的丑闻（例如Cambridge Analytica，Facebook，Google +），当前对隐私的关注很高，但是由于用户处理的问题远远超出了他们的控制范围，因此它可能不会影响用户自我保护的动力。

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