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儿童学前应用程序的数据收集实践。

Data Collection Practices of Mobile Applications Played by Preschool-Aged Children.

机构信息

Department of Pediatrics, University of Michigan Medical School, Ann Arbor.

Usable Security and Privacy Group, International Computer Science Institute, Berkeley, California.

出版信息

JAMA Pediatr. 2020 Dec 1;174(12):e203345. doi: 10.1001/jamapediatrics.2020.3345. Epub 2020 Dec 7.

Abstract

IMPORTANCE

Child-directed mobile applications (apps) have been found to collect digital identifiers and transmit them to third-party companies, a potential violation of federal privacy rules. This study seeks to examine the differences in app data collection and sharing practices by evaluating the sociodemographic characteristics of the children who play them.

OBJECTIVE

To examine data collection and sharing practices of 451 apps played by young children and to test associations with child sociodemographic characteristics.

DESIGN, SETTING, AND PARTICIPANTS: This study used data from the baseline phase of the Preschooler Tablet Study, a prospective cohort study conducted from August 2018 to January 2020. This study used a population-based sample. A convenience sample of the parents of preschool-aged children was recruited from pediatric offices, childcare centers, social media posts, and an online participant registry. Eligibility criteria included (1) parent or guardian of a child aged 3 to 5 years, (2) parent or guardian who lived with the child at least 5 days per week, (3) participants who spoke English, and (4) a child who used an Android (Google LLC) device. All interactions with participants were through email, online surveys, and mobile device sampling.

EXPOSURES

Sociodemographic characteristics were assessed by parental report.

MAIN OUTCOMES AND MEASURES

This study tested the hypothesis that data transmissions to third-party domains are more common in apps played by children from low-socioeconomic-status homes. Child app usage was assessed via a mobile sampling app for an average of 9 days. Persistent identifier data transmissions to third-party domains were quantified for each app using an instrumented Android environment with monitoring of network traffic; for each child, the counts of total data transmissions were calculated, and the total third-party domains were detected for the apps they played.

RESULTS

Our sample comprised 124 children who used Android devices (35 tablets, 89 smartphones; 65 girls [52%]; mean [SD] age, 3.85 [0.57] years; 87 non-Hispanic White [71%]). One hundred twenty of participating parents (97%) were women. Of 451 apps tested, 303 (67%) transmitted persistent identifiers to 1 to 33 third-party domains. Child data transmission counts ranged from 0 to 614 (median [interquartile range], 5.0 [1-17.5]) and third-party domain counts from 0 to 399 (4.0 [1-12.5]). In multivariable negative binomial regression models, higher transmission and third-party domain rates per app were positively associated with older age (rate ratio, 1.67 [95% CI, 1.20-2.33]; P = .002 and 1.69 [95% CI, 1.26-2.27]; P < .001, respectively) and lower parent educational attainment (eg, high school or General Educational Development or less rate ratio, 2.29 [95% CI, 1.20-4.39]; P = .003 and 2.05 [95% CI, 1.13-3.70]; P < .02, respectively), but not with household income.

CONCLUSIONS AND RELEVANCE

This study found that apps used by young children had a high frequency of persistent identifier transmissions to third-party companies, suggesting that federal privacy rules are not being enforced. Older children, those with their own devices, or those from lower-education households may be at higher risk of potential privacy violations.

摘要

重要性

已发现儿童导向的移动应用程序(apps)会收集数字标识符并将其传输给第三方公司,这可能违反联邦隐私规则。本研究旨在通过评估使用这些应用程序的儿童的社会人口特征,来研究应用程序数据收集和共享实践的差异。

目的

检查 451 个年轻儿童玩的应用程序的数据收集和共享实践,并测试与儿童社会人口特征的关联。

设计、设置和参与者:本研究使用了从 2018 年 8 月至 2020 年 1 月进行的前瞻性队列研究“学龄前平板电脑研究”的基线阶段的数据。本研究使用了基于人群的样本。从儿科办公室、儿童保育中心、社交媒体帖子和在线参与者注册表中招募了学龄前儿童的父母的便利样本。合格标准包括:(1)年龄在 3 至 5 岁之间的儿童的父母或监护人,(2)与孩子一起居住至少 5 天/周的父母或监护人,(3)会说英语的参与者,以及(4)使用 Android(Google LLC)设备的儿童。所有与参与者的互动都是通过电子邮件、在线调查和移动设备采样进行的。

暴露情况

社会人口特征由父母报告评估。

主要结果和措施

本研究检验了这样一个假设,即数据传输到第三方域在来自低社会经济地位家庭的儿童中更为常见。通过移动采样应用程序评估儿童应用程序使用情况,平均持续 9 天。使用带有网络流量监测的仪器化 Android 环境对每个应用程序的持久性标识符传输到第三方域的情况进行量化;对于每个孩子,计算了总数据传输次数,并为他们玩的应用程序检测了总第三方域数。

结果

我们的样本包括 124 名使用 Android 设备的儿童(35 台平板电脑,89 部智能手机;65 名女孩[52%];平均[标准差]年龄 3.85[0.57]岁;87 名非西班牙裔白人[71%])。参与的 120 名父母中有 97%是女性。在测试的 451 个应用程序中,有 303 个(67%)向 1 至 33 个第三方域传输了持久性标识符。儿童数据传输次数范围从 0 到 614(中位数[四分位间距],5.0[1-17.5]),第三方域次数范围从 0 到 399(4.0[1-12.5])。在多变量负二项回归模型中,每个应用程序的更高传输和第三方域率与年龄较大(比率比,1.67[95%CI,1.20-2.33];P = .002 和 1.69[95%CI,1.26-2.27];P < .001,分别)和较低的父母教育程度(例如,高中或普通教育发展或以下比率比,2.29[95%CI,1.20-4.39];P = .003 和 2.05[95%CI,1.13-3.70];P < .02,分别)呈正相关,但与家庭收入无关。

结论和相关性

本研究发现,年幼儿童使用的应用程序向第三方公司传输持久性标识符的频率很高,这表明联邦隐私规则未得到执行。年龄较大的儿童、拥有自己设备的儿童或来自教育程度较低家庭的儿童可能面临更高的潜在隐私侵犯风险。

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