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Reasonable Expectations Of Privacy: Katz V. United States

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Reasonable Expectation of Privacy: "Reasonable expectation of privacy" is a legal term based on standards and norms about privacy which are held by a society. In the US, the case "Katz v. United States" was the first time the term "reasonable expectation of privacy" was used. What "...a person knowingly exposes to the public, even in his own home or office, is not a subject of Fourth Amendment protection…. But what he seeks to preserve as private, even in an area accessible to the public, may be constitutionally protected."[10] This decision provided a precedent to be used in future cases to determine what can be considered private, protected information. Further rulings based on this precedent have established that the expectations of a …show more content…

Company "privacy statements" and "End User License Agreements"(EULAs) also change the expectation of privacy in ways that may not be clear without extended reading [12]. In the case of a merger between DoubleClick and Abacus Direct, in which DoubleClick was acquiring Abacus Direct, what was considered a legal use of data for each company individually constituted a breach of privacy if combined [13]. As the expectation of privacy is based on public perception and understanding, continuing technological advancement and the precedents set by court rulings on cases involving privacy will alter these expectations in the …show more content…

These extremely large data sets may be analyzed computationally to reveal patterns, trends, and associations relating to human behavior and interaction. These analysesaffect us on day to day basis positively and negatively and the legality of how this information is collected and the laws that apply may be unclear. Both with or without users' knowledge, consumer personal data is collected from every daily, digital activity; from purchases, web searches, amazon searches, browsing history, and phone use. This data is generated, and then downloaded and stored. [15] Companies can then use this data to create "data sets" or large files of users' data to produce customer profiling. This data can also be used by police, the governmental bodies, scientists, businesses, military, and other industries where occasional breaches of data are expected .[16] Breaches and leaks of personal information including phone calls, credit card information, home address, and personal phone numbers are examples of information that is logged and stored by these corporations while making "data sets". Much of this information is being processed and sold to marketers for the purpose of marketing their products. This information is stored digitally and in some cases, regardless of the security of the information being stored, there are risks of unauthorized parties

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