Dataveillance
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Dataveillance
Dataveillance is the practice of monitoring and collecting online data as well as metadata. The word is a portmanteau of ''data'' and ''surveillance''. Dataveillance is concerned with the continuous monitoring of users' communications and actions across various platforms. For instance, dataveillance refers to the monitoring of data resulting from credit card transactions, GPS coordinates, emails, social networks, etc. Using digital media often leaves traces of data and creates a digital footprint of our activity. Unlike sousveillance, this type of surveillance is not often known and happens discreetly. Dataveillance may involve the surveillance of groups of individuals. There exist three types of dataveillance: ''personal dataveillance, mass dataveillance,'' and ''facilitative mechanisms''. Unlike computer and network surveillance, which collects data from computer networks and hard drives, dataveillance monitors and collects data (and metadata) through social networks and v ...
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Sousveillance
Sousveillance ( ) is the recording of an activity by a member of the public, rather than a person or organisation in authority, typically by way of small wearable or portable personal technologies. The term, coined by Steve Mann, stems from the contrasting French words ''sur'', meaning "above", and ''sous'', meaning "below", i.e. "surveillance" denotes the " eye-in-the-sky" watching from above, whereas "sousveillance" denotes bring the means of observation down to human level, either physically (mounting cameras on people rather than on buildings) or hierarchically (ordinary people doing the watching, rather than higher authorities or architectures). While surveillance and sousveillance both usually refer to visual monitoring, they can denote other forms of monitoring such as audio surveillance or sousveillance. With audio (e.g. recording of phone conversations), sousveillance is sometimes referred to as "one party consent". Undersight (inverse oversight) is sousveillance at h ...
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Privacy-enhancing Technologies
Privacy-enhancing technologies (PET) are technologies that embody fundamental data protection principles by minimizing personal data use, maximizing data security, and empowering individuals. PETs allow online users to protect the privacy of their personally identifiable information (PII), which is often provided to and handled by services or applications. PETs use techniques to minimize an information system's possession of personal data without losing functionality. Generally speaking, PETs can be categorized as hard and soft privacy technologies. Goals of PETs The objective of PETs is to protect personal data and assure technology users of two key privacy points: their own information is kept confidential, and management of data protection is a priority to the organizations who hold responsibility for any PII. PETs allow users to take one or more of the following actions related to personal data that is sent to and used by online service providers, merchants or other users ( ...
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