Can the obstacles to privacy self-management be overcome? Exploring the consent intermediary approach

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Can the obstacles to privacy self-management be overcome? Exploring the consent intermediary approach. / Lehtiniemi, Tuukka; Kortesniemi, Yki.

In: BIG DATA & SOCIETY, Vol. 4, No. 2, UNSP 2053951717721935, 2017, p. 1-11.

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@article{eb94c020517f4edaa61647a637b8df4a,
title = "Can the obstacles to privacy self-management be overcome? Exploring the consent intermediary approach",
abstract = "In privacy self-management, people are expected to perform cost–benefit analysis on the use of their personal data, and only consent when their subjective benefits outweigh the costs. However, the ubiquitous collection of personal data and Big Data analytics present increasing challenges to successful privacy management. A number of services and research initiatives have proposed similar solutions to provide people with more control over their data by consolidating consent decisions under a single interface. We have named this the ‘consent intermediary’ approach.In this paper, we first identify the eight obstacles to privacy self-management which make cost–benefit analysis conceptually and practically challenging. We then analyse to which extent consent intermediaries can help overcome the obstacles. We argue that simply bringing consent decisions under one interface offers limited help, but that the potential of this approach lies in leveraging the intermediary position to provide aides for privacy management. We find that with suitable tools, some of the more practical obstacles indeed can become solvable, while others remain fundamentally insuperable within the individuated privacy self-management model. Attention should also be paid to how the consent intermediaries may take advantage of the power vested in the intermediary positions between users and other services.",
keywords = "personal data, informed consent, privacy self-management, privacy, cost–benefit analysis, consent intermediary",
author = "Tuukka Lehtiniemi and Yki Kortesniemi",
year = "2017",
doi = "10.1177/2053951717721935",
language = "English",
volume = "4",
pages = "1--11",
journal = "BIG DATA & SOCIETY",
issn = "2053-9517",
publisher = "SAGE Publications",
number = "2",

}

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TY - JOUR

T1 - Can the obstacles to privacy self-management be overcome? Exploring the consent intermediary approach

AU - Lehtiniemi, Tuukka

AU - Kortesniemi, Yki

PY - 2017

Y1 - 2017

N2 - In privacy self-management, people are expected to perform cost–benefit analysis on the use of their personal data, and only consent when their subjective benefits outweigh the costs. However, the ubiquitous collection of personal data and Big Data analytics present increasing challenges to successful privacy management. A number of services and research initiatives have proposed similar solutions to provide people with more control over their data by consolidating consent decisions under a single interface. We have named this the ‘consent intermediary’ approach.In this paper, we first identify the eight obstacles to privacy self-management which make cost–benefit analysis conceptually and practically challenging. We then analyse to which extent consent intermediaries can help overcome the obstacles. We argue that simply bringing consent decisions under one interface offers limited help, but that the potential of this approach lies in leveraging the intermediary position to provide aides for privacy management. We find that with suitable tools, some of the more practical obstacles indeed can become solvable, while others remain fundamentally insuperable within the individuated privacy self-management model. Attention should also be paid to how the consent intermediaries may take advantage of the power vested in the intermediary positions between users and other services.

AB - In privacy self-management, people are expected to perform cost–benefit analysis on the use of their personal data, and only consent when their subjective benefits outweigh the costs. However, the ubiquitous collection of personal data and Big Data analytics present increasing challenges to successful privacy management. A number of services and research initiatives have proposed similar solutions to provide people with more control over their data by consolidating consent decisions under a single interface. We have named this the ‘consent intermediary’ approach.In this paper, we first identify the eight obstacles to privacy self-management which make cost–benefit analysis conceptually and practically challenging. We then analyse to which extent consent intermediaries can help overcome the obstacles. We argue that simply bringing consent decisions under one interface offers limited help, but that the potential of this approach lies in leveraging the intermediary position to provide aides for privacy management. We find that with suitable tools, some of the more practical obstacles indeed can become solvable, while others remain fundamentally insuperable within the individuated privacy self-management model. Attention should also be paid to how the consent intermediaries may take advantage of the power vested in the intermediary positions between users and other services.

KW - personal data

KW - informed consent

KW - privacy self-management

KW - privacy

KW - cost–benefit analysis

KW - consent intermediary

U2 - 10.1177/2053951717721935

DO - 10.1177/2053951717721935

M3 - Article

VL - 4

SP - 1

EP - 11

JO - BIG DATA & SOCIETY

JF - BIG DATA & SOCIETY

SN - 2053-9517

IS - 2

M1 - UNSP 2053951717721935

ER -

ID: 16829660