Putting mobile application privacy in context: An empirical study of user privacy expectations for mobile devices     

Kirsten Martin  Katie Shilton 《The Information Society》2016,32(3):200-216

Users increasingly use mobile devices to engage in social activity and commerce, enabling new forms of data collection by firms and marketers. User privacy expectations for these new forms of data collection remain unclear. A particularly difficult challenge is meeting expectations for contextual integrity, as user privacy expectations vary depending upon data type collected and context of use. This article illustrates how fine-grained, contextual privacy expectations can be measured. It presents findings from a factorial vignette survey that measured the impact of diverse real-world contexts (e.g., medical, navigation, music), data types, and data uses on user privacy expectations. Results demonstrate that individuals’ general privacy preferences are of limited significance for predicting their privacy judgments in specific scenarios. Instead, the results present a nuanced portrait of the relative importance of particular contextual factors and information uses, and demonstrate how those contextual factors can be found and measured. The results also suggest that current common activities of mobile application companies, such as harvesting and reusing location data, images, and contact lists, do not meet users’ privacy expectations. Understanding how user privacy expectations vary according to context, data types, and data uses highlights areas requiring stricter privacy protections by governments and industry.  相似文献   

Beware! Uncle Sam has Your DNA: Legal Fallout from its Use and Misuse in the U.S.     

Weiss MJ 《Ethics and Information Technology》2004,6(1):55-63

Technology has provided state and federal governments with huge collections of DNA samples and identifying profiles stored in databanks. That information can be used to solve crimes by matching samples from convicted felons to unsolved crimes, and has aided law enforcement in investigating and convicting suspects, and exonerating innocent felons, even after lengthy incarceration. Rights surrounding the provision of DNA samples, however, remain unclear in light of the constitutional guarantee against "unreasonable searches and seizures" and privacy concerns. The courts have just begun to consider this issue, and have provided little guidance. It is unclear whether the laws governing protected health information are applicable to the instant situation, and if so, the degree to which they apply. DNA databanks are not uniformly regulated, and it is possible that DNA samples contained in them may be used for purposes unintended by donors of the samples. As people live their lives, they leave bits of their DNA behind. They cannot be assured that these tiny specimens will not be taken or used against their will or without their knowledge for activities such as profiling to measure tendencies such as thrill-seeking, aggressiveness, or crimes with threatening behavior. Existing racial or ethnic discrimination and profiling may also encompass genetic discrimination and profiling, creating societal class distinctions. This article will explore the constitutionality of collecting genetic materials, the ethics of such activities, and balance the social good in solving crime and deterrence against the individual's security, liberty, and privacy.  相似文献   

Information privacy concerns and demographic characteristics: Data from a Korean media panel survey     

Hwansoo Lee  Siew Fan Wong  Jungjoo Oh  Younghoon Chang 《Government Information Quarterly》2019,36(2):294-303

This study explores the relationship between individuals' demographic characteristics and information privacy concerns (IPC) using panel data from the Korea Information Society Development Institute (KISDI) that has collected a large sample from 7809 respondents. Its goal is to address the gaps in existing information privacy literature that focuses mainly on behavioral determinants of IPC and thus has not paid much attention to the direct examination of the relationship between demographic characteristics of individuals and IPC. A few relevant studies that focus on such a relationship have produced inconsistent results. In our study, we found that while the effects of educational attainment, income level, and marriage are in line with existing studies, the effects of gender and age are at odds with existing studies. The main contribution of this study is to confirm the results of previous studies with a large sample and enables the generalization of empirical findings. In addition, the results that are in contrast to the literature can generate new research avenue.  相似文献   

Inclusion or infringement? A systematic research review of students' perspectives on student privacy in technology-enhanced,hybrid and online courses     

Stephanie J. Blackmon  Claire H. Major 《British journal of educational technology : journal of the Council for Educational Technology》2023,54(6):1542-1565

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Implementing next generation privacy and ethics research in education technology     

Ruth Marshall  Abelardo Pardo  David Smith  Tony Watson 《British journal of educational technology : journal of the Council for Educational Technology》2022,53(4):737-755

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联邦个性化学习推荐系统研究     

李康康  袁萌  林凡 《现代教育技术》2022,(2)

当前,个性化学习推荐系统面临数据隐私保护、"冷启动"和法律约束等问题,而联邦学习作为近年来优秀的数据隐私保护机器学习技术解决方案,可有效解决这些问题。基于此,文章将联邦学习和个性化学习推荐相结合,设计了联邦个性化学习推荐系统。首先,文章分析了联邦个性化学习推荐系统的具体应用场景,包括横向联邦、纵向联邦、联邦强化三种。其次,文章分别针对这三种应用场景设计了相应的应用解决方案。最后,文章探讨了未来联邦个性化学习推荐系统面临的严峻挑战,以期帮助教育利益相关者在保护数据隐私的同时共享数据价值,最终实现更安全、更高质量的个性化学习推荐服务。  相似文献   

民间有偿借贷的法律规制     

朱留虎 《安庆师范学院学报(社会科学版)》2014,(3):35-38

民间有偿借贷,是当下普遍存在的一种现象。由于我国现行法律关于民间有偿借贷的规定存在缺陷,民间有偿借贷乱象丛生,带来一系列的负面影响。要消除这些负面影响,必须完善我国民间有偿借贷的法律法规,禁止民间借贷主体在同一期间内有偿借款又有偿贷款,民间有偿借贷应是诺成法律行为,必须是要式法律行为,其约定的利息必须合法。  相似文献   

隐私保护与作文教学的伦理原则     

汤建英 《江苏教育研究》2014,(11):73-75

学生的隐私受法律保护,但学生作文中涉及的个人隐私尚未得到应有的尊重和保护。进行隐私保护,需要确立一些基本的伦理原则,如明确的文体区分原则,积极的社会关系原则,个别化沟通原则,监护人权利原则等。  相似文献   

Parzen窗核密度估计的模式分类隐私保护方法     

张友能  王德兵  汪伟 《淮南师范学院学报》2014,(5):93-96

针对大规模数据集上的模式分类任务,提出了一种基于Parzen窗核密度估计的模式分类隐私保护算法。该算法首先利用Parzen窗算法对原始大规模训练集服从的概率密度进行估计,然后根据估计的概率密度函数构造la个替换训练样本,其中l为原始样本的数目,a通过10折交叉验证方式确定。最后发布替换训练样本进行模式分类,以实现原始数据上的隐私保护。在Adult数据集上的仿真实验充分验证了该算法的有效性。  相似文献   

“人肉搜索”中个人信息的民法保护探析     

尤佳  叶林 《安徽广播电视大学学报》2014,(1):22-27

以判决隐私权侵权方式规制人肉搜索行为,存在诸多问题.人肉搜索行为的本质是侵害个人信息权行为,而非隐私权侵权行为.人肉搜索不属于网民合理行使言论自由权的范畴,应当受到规制.我国相关民事立法存在不足.立法应当明确规定个人信息权的含义及内容,同时规定个人信息权侵权的抗辩事由,在网络侵权责任的制度设计中应合理规定网络服务商的责任.  相似文献