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A multidisciplinary definition of privacy labels

Johansen, Johanna (author)
Oslo University; NOR
Pedersen, Tore (author)
Oslo New University College, NOR ; Norwegian Intelligence School, NOR
Fischer-Hübner, Simone, 1963- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013)
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Johansen, Christian (author)
Norwegian University of Science & Technology, NOR
Schneider, Gerardo (author)
University of Gothenburg
Roosendaal, Arnold (author)
Privacy Co, NLD
Zwingelberg, Harald (author)
Unabhangiges Landeszentrum Datenschutz Schleswig, DEU
Sivesind, Anders Jakob (author)
Oslo University, NOR
Noll, Josef (author)
Oslo University, NOR
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 (creator_code:org_t)
Emerald Group Publishing Limited, 2022
2022
English.
In: Information and Computer Security. - : Emerald Group Publishing Limited. - 2056-4961. ; 30:3, s. 452-469
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Purpose This paper aims to present arguments about how a complex concept of privacy labeling can be a solution to the current state of privacy. Design/methodology/approach The authors give a precise definition of Privacy Labeling (PL), painting a panoptic portrait from seven different perspectives: Business, Legal, Regulatory, Usability and Human Factors, Educative, Technological and Multidisciplinary. They describe a common vision, proposing several important "traits of character" of PL as well as identifying "undeveloped potentialities", i.e. open problems on which the community can focus. Findings This position paper identifies the stakeholders of the PL and their needs with regard to privacy, describing how PL should be and look like to address these needs. Main aspects considered are the PL's educational power to change people's knowledge of privacy, tools useful for constructing PL and the possible visual appearances of PL. They also identify how the present landscape of privacy certifications could be improved by PL. Originality/value The authors adopt a multidisciplinary approach to defining PL as well as give guidelines in the form of goals, characteristics, open problems, starting points and a roadmap for creating the ideal PL.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Keyword

Computer Science
Datavetenskap

Publication and Content Type

ref (subject category)
art (subject category)

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