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Dataveillance is the practice of monitoring and collecting online data as well as metadata.[1] The word is a portmanteau of data and surveillance.[2] Dataveillance is concerned with the continuous monitoring of users' communications and actions across various platforms.[3] 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.[4] Unlike sousveillance, this type of surveillance is not often known and happens discreetly.[5] Dataveillance may involve the surveillance of groups of individuals. There exist three types of dataveillance: personal dataveillance, mass dataveillance, and facilitative mechanisms.[3]

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. Dataveillance is not to be confused with electronic surveillance. Electronic surveillance refers to the surveillance of oral and audio systems such as wire tapping.[3] Additionally, electronic surveillance depends on having suspects already presumed before surveillance can occur.[6] On the other hand, dataveillance can use data to identify an individual or a group.[6] Oftentimes, these individuals and groups have sparked some form of suspicion with their activity.[3]

Dataveillance has significant impacts on advertising theory and practice. These impacts particularly stem from recent infrastructure and technological advancements that increase the extent to which advertisers can gain data information about consumers and their behaviours. For example, collecting data can be extended into collecting consumers’ offline behaviors and to places that are considered private. [7]

  1. ^ van Dijck, José (2014). "Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology". Surveillance & Society. 12 (2). ISSN 1477-7487.
  2. ^ Resources, Management Association, Information (August 30, 2016). Biometrics: Concepts, Methodologies, Tools, and Applications: Concepts, Methodologies, Tools, and Applications. IGI Global. ISBN 978-1-5225-0984-4.{{cite book}}: CS1 maint: multiple names: authors list (link)
  3. ^ a b c d Clarke, Roger A. (1988). "Information Technology and Dataveillance". Communications of the ACM. 31 (5): 498–511. doi:10.1145/42411.42413. S2CID 6826824.
  4. ^ Selwyn, Neil (2014). "Data entry: towards the critical study of digital data and education". Learning, Media and Technology. 40 (1): 64–82. doi:10.1080/17439884.2014.921628. S2CID 143752752.
  5. ^ Clarke, Roger (1996). "Privacy and dataveillance, and organizational strategy". Proceedings of the IS Audit & Control Associate Conference.
  6. ^ a b Frikken, Keith B.; Atallah, Mikhail J. (2003). "Privacy preserving electronic surveillance". Proceedings of the 2003 ACM workshop on Privacy in the electronic society. p. 45. doi:10.1145/1005140.1005148. ISBN 1581137761. S2CID 17634545.
  7. ^ https://www.tandfonline.com/doi/full/10.1080/00913367.2022.2109781

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