词汇
计算机科学
关系(数据库)
相关性(法律)
信息隐私
扎根理论
订单(交换)
互联网隐私
数据科学
社会学
数据挖掘
定性研究
社会科学
哲学
语言学
财务
政治学
法学
经济
标识
DOI:10.1145/2207676.2207727
摘要
Privacy is a widely studied concept in relation to social computing and sensor-based technologies; scores of research papers have investigated people's "privacy preferences" and apparent reluctance to share personal data. In this paper we explore how Ubicomp and HCI studies have approached the notion of privacy, often as a quantifiable concept. Leaning on several theoretical frameworks, but in particular Nissenbaum's notion of contextual integrity, we question the viability of obtaining universal answers in terms of people's "general" privacy practices and apply elements of Nissenbaum's theory to our own data in order to illustrate its relevance. We then suggest restructuring inquiries into information sharing in studies of state-of-the-art technologies and analyze contextually grounded issues using a different, more specific vocabulary. Finally, we provide the first building blocks to such vocabulary.
科研通智能强力驱动
Strongly Powered by AbleSci AI