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As a conceptual framework, contextual integrity has been used to analyze and understand the privacy implications of socio-technical systems on a wide array of platforms (e.g. Web, smartphone, IoT systems), and has led to many tools, frameworks, and system designs that help study and address these privacy issues.
The reasonable expectation of privacy has been extended to include the totality of a person's movements captured by tracking their cellphone. [24] Generally, a person loses the expectation of privacy when they disclose information to a third party, [25] including circumstances involving telecommunications. [26]
Public privacy encompasses freedom of information and expression on the Internet on the one side, and security and privacy in cyberspace on the other side. [4]: 3 In the context of cyberspace, privacy means using the Internet as a service tool for private purposes without the fear of third parties accessing and using user data in various ways without their consent.
Information privacy is the relationship between the collection and dissemination of data, technology, the public expectation of privacy, contextual information norms, and the legal and political issues surrounding them. [1] It is also known as data privacy [2] [3] or data protection.
Internet and digital privacy are viewed differently from traditional expectations of privacy. Internet privacy is primarily concerned with protecting user information. Law Professor Jerry Kang explains that the term privacy expresses space, decision, and information. [11]
Digital privacy is often used in contexts that promote advocacy on behalf of individual and consumer privacy rights in e-services and is typically used in opposition to the business practices of many e-marketers, businesses, and companies to collect and use such information and data.
This bias can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity. The study of algorithmic bias is most concerned with algorithms that reflect "systematic and unfair" discrimination. [ 2 ]
Information flow in an information theoretical context is the transfer of information from a variable to a variable in a given process.Not all flows may be desirable; for example, a system should not leak any confidential information (partially or not) to public observers—as it is a violation of privacy on an individual level, or might cause major loss on a corporate level.