Schwartz-Chassidim Hadas, Ayalon Oshrat, Mendel Tamir, Hirschprung Ron, Toch Eran
Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel.
Software Engineering Department, Shamoon College of Engineering, Beer Sheva, Israel.
Heliyon. 2020 Feb 4;6(2):e03298. doi: 10.1016/j.heliyon.2020.e03298. eCollection 2020 Feb.
People's posting behaviors in social networks was perceived as ambiguous, with concerns misaligned with people's public postings. To address this gap, we suggest a model that offers new insights into the relationship between perceptions and actual behaviors. We define a quantitative marker for agility, the frequency in which people update their audience selection when posting information in online social networks, and evaluate the factors that contribute to the variability of agility between different users. We analyzed the posting behavior of Facebook 181 participants, as well as their answers to open and close questions. We find that frequent changes in privacy settings are correlated with high social privacy and with institutional privacy concerns, whereas social concerns were found to be more prominent. Agility was negatively correlated with low public sharing. Our findings show that users use privacy settings to effectively mitigate privacy concerns and desires for creating and strengthening social connections. We discuss how agility can be used to design and to evaluate new user interfaces for managing privacy in social settings.
人们在社交网络中的发布行为被认为具有模糊性，人们的担忧与公开帖子不一致。为了弥补这一差距，我们提出了一个模型，该模型为认知与实际行为之间的关系提供了新的见解。我们定义了一个敏捷性的定量指标，即人们在在线社交网络中发布信息时更新受众选择的频率，并评估导致不同用户之间敏捷性差异的因素。我们分析了181名Facebook参与者的发布行为，以及他们对开放式和封闭式问题的回答。我们发现，隐私设置的频繁变化与较高的社交隐私和机构隐私担忧相关，而社交担忧更为突出。敏捷性与低公开分享呈负相关。我们的研究结果表明，用户使用隐私设置来有效减轻隐私担忧以及建立和加强社交联系的愿望。我们讨论了如何利用敏捷性来设计和评估用于管理社交环境中隐私的新用户界面。
