TY - JOUR
T1 - Digital Resignation and the Datafied Welfare State
AU - Bagger, Christoffer
AU - Einarsson, Arni Már
AU - Andelsman Alvarez, Victoria
AU - Klausen, Maja
AU - Lomborg, Stine
PY - 2023
Y1 - 2023
N2 - This commentary calls for further research into digital resignation within non-market contexts, particularly in relation to the datafied welfare state, as distinct from commercial big tech platforms. We aim to nuance the concept of digital resignation by relating it to the digitization of institutions and public services upholding the Danish welfare state, including health services, childcare, and news consumption. These cases illustrate that datafication stimulates citizens' discomfort by registering privacy-intrusive information and setting new standards for being a good citizen, which resignation research can help us understand. We use the case examples to propose new avenues for digital resignation research and question whether organisations, institutions, and governments themselves can be digitally resigned. As such, the usefulness of digtial resignation as a concept can be expanded.
AB - This commentary calls for further research into digital resignation within non-market contexts, particularly in relation to the datafied welfare state, as distinct from commercial big tech platforms. We aim to nuance the concept of digital resignation by relating it to the digitization of institutions and public services upholding the Danish welfare state, including health services, childcare, and news consumption. These cases illustrate that datafication stimulates citizens' discomfort by registering privacy-intrusive information and setting new standards for being a good citizen, which resignation research can help us understand. We use the case examples to propose new avenues for digital resignation research and question whether organisations, institutions, and governments themselves can be digitally resigned. As such, the usefulness of digtial resignation as a concept can be expanded.
U2 - 10.1177/20539517231206806
DO - 10.1177/20539517231206806
M3 - Comment/debate
VL - 10
JO - Big Data & Society
JF - Big Data & Society
SN - 2053-9517
IS - 2
ER -