Data shadows refer to the information that a person leaves behind unintentionally while taking part in daily activities such as checking their e-mails, scrolling through social media or even by using their debit or credit card.[1][2][3]
The term data shadow was coined in 1972 by Kerstin Anér, a member of the Swedish legislature.[4]
The generated information has the potential to create a vastly detailed record of an individual's daily trails, which includes the individual's thoughts and interests, whom they communicate with, information about the organizations with which they work or interact with and so forth.[2] This information can be dispersed to a dozen organizations and servers depending on their use.[5] Along with Individuals, the activities of institutions and organizations are also tracked. Data Shadows are closely linked with data footprints, which are defined as the data that has been left behind by the individual themselves through various activities such as online activities, communication information, and transactions.[2]
In a chapter for the book Geography and Technology, researcher Matthew Zook and his co-authors note that data shadows have come as a result of people becoming "digital individuals" and that these shadows are continually evolving and changing.[6] They are used to model and predict political opinions, and make inferences about a person's political values or susceptibility to advertising.[1]
^ abHoward, Philip N. (2005). New Media Campaigns and the Managed Citizen. New York, NY: Cambridge University Press. pp. 93, 144. ISBN 9780521612272.
^ abcKitchin, Rob (2014). The data revolution: big data, open data, data infrastructures & their consequences. Sage Publications Ltd. pp. xvii, 222 pages.
^Koops, E.J (2011). "Forgetting footprints, shunning shadows: A critical analysis of the 'right to be forgotten' in big data practice". SCRIPTed. 8 (3): 229–256. SSRN 1986719.
^Steven Bellovin (2021-06-29). ""Where Did "Data Shadow" Come From?"". CircleID.
^Raley, Rita (2013). "Data and countervailence". Raw Data Is an Oxymoron. MIT Press. pp. 121–146. ISBN 9780262518284.
^Zook, Matthew; Dodge, Martin; Aoyama, Yuko; Townsend, Anthony (2004-03-31). "New Digital Geographies: Information, Communication, and Place". Geography and Technology. Springer Science & Business Media. p. 169. ISBN 9781402018718.
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