Zhang Melvyn, Chow Aloysius, Smith Helen
Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
J Med Internet Res. 2020 Dec 3;22(12):e21572. doi: 10.2196/21572.
Apps that enable contact-tracing are instrumental in mitigating the transmission of COVID-19, but there have been concerns among users about the data collected by these apps and their management. Contact tracing is of paramount importance when dealing with a pandemic, as it allows for rapid identification of cases based on the information collected from infected individuals about other individuals they may have had recent contact with. Advances in digital technology have enabled devices such as mobile phones to be used in the contract-tracing process. However, there is a potential risk of users' personal information and sensitive data being stolen should hackers be in the near vicinity of these devices. Thus, there is a need to develop privacy-preserving apps. Meanwhile, privacy policies that outline the risk associated with the use of contact-tracing apps are needed, in formats that are easily readable and comprehensible by the public. To our knowledge, no previous study has examined the readability of privacy policies of contact-tracings apps. Therefore, we performed a readability analysis to evaluate the comprehensibility of privacy policies of 7 contact-tracing apps currently in use. The contents of the privacy policies of these apps were assessed for readability using Readability Test Tool, a free web-based reliability calculator, which computes scores based on a number of statistics (ie, word count and the number of complex words) and indices (ie, Flesch Reading Ease, Flesch-Kincaid Reading Grade Level, Gunning Fog Index, and Simplified Measure of Gobbledygook index). Our analysis revealed that explanations used in the privacy policies of these apps require a reading grade between 7 and 14, which is considerably higher than the reading ability of the average individual. We believe that improving the readability of privacy policies of apps could be potentially reassuring for users and may help facilitate the increased use of such apps.
启用接触者追踪功能的应用程序在减轻新冠病毒传播方面发挥着重要作用,但用户对这些应用程序收集的数据及其管理存在担忧。在应对大流行时,接触者追踪至关重要,因为它能够根据从感染者那里收集到的有关他们近期可能接触过的其他人的信息,迅速识别病例。数字技术的进步使手机等设备能够用于接触者追踪过程。然而,如果黑客靠近这些设备,就存在用户个人信息和敏感数据被盗的潜在风险。因此,有必要开发保护隐私的应用程序。与此同时,需要以公众易于阅读和理解的格式制定概述使用接触者追踪应用程序相关风险的隐私政策。据我们所知,之前没有研究考察过接触者追踪应用程序隐私政策的可读性。因此,我们进行了一项可读性分析,以评估目前正在使用的7款接触者追踪应用程序隐私政策的可理解性。使用“可读性测试工具”(一种基于网络的免费可靠性计算器)对这些应用程序隐私政策的内容进行可读性评估,该工具根据一些统计数据(即单词数和复杂单词数)和指数(即弗莱什易读性、弗莱什-金凯德阅读年级水平、冈宁雾度指数和简化的官样文章指数)计算得分。我们的分析表明,这些应用程序隐私政策中使用的解释需要7至14年级的阅读水平,这大大高于普通个人的阅读能力。我们认为,提高应用程序隐私政策的可读性可能会让用户感到安心,并可能有助于促进此类应用程序的更多使用。