dataveillance การใช้

• Despite dataveillance compromising anonymity, anonymity itself presents a crucial issue.
• Dataveillance has also been useful in assessing security threats associated with terrorism.
• Dataveillance is very important to the concept of predictive policing.
• Dataveillance is not to be confused with electronic surveillance.
• Unlike mass dataveillance a group is not targeted.
• Personal dataveillance refers to the collection and monitoring of a person's personal data.
• Authorities have utilized dataveillance to help them understand and predict potential terrorist or criminal threats.
• Ultimately, dataveillance can comprise online anonymity.
• Since predictive policing requires a great deal of data to operate effectively and dataveillance can do just that.
• Personal dataveillance can occur when an individual's data causes a suspicion or has attracted attention in some way.
• Businesses also rely on dataveillance to help them understand the online activity for potential clients by tracking their online activity.
• The general distinction between mass dataveillance and personal dataveillance is the surveillance and collection of data as a group rather than an individual.
• The general distinction between mass dataveillance and personal dataveillance is the surveillance and collection of data as a group rather than an individual.
• While dataveillance may help businesses market their products to existing and potential clients there are concerns over how and who has access to customer data.
• Privacy-enhancing technologies, otherwise known as PETs, have been utilized by individuals to reduce data collection and decrease the possibility for dataveillance.
• With social networks collecting a large amount of personal data such as birth date, legal name, sex, and photos there is an issue of dataveillance compromising confidentiality.
• In some cases, however, particularly in the case of mined credit card information, dataveillance has been documented to have led to a greater incidence of errors than past surveillance techniques.
• 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 various other online platforms.
• Increasingly visible data, made accessible to organizations and individuals from new data-mining technologies, has led to the proliferation of  dataveillance,  which may be described as a mode of surveillance that aims to single out particular transactions through routine algorithmic production.
• Some of the normative and ethical concerns addressed by Kitchin include surveillance through one's data ( dataveillance ), the privacy of one's data, the ownership of one's data, the security of one's data, anticipatory or corporate governance, and finally profiling individuals by their data.