2020
DOI: 10.1525/gp.2020.12912
|View full text |Cite
|
Sign up to set email alerts
|

Datafication and the Welfare State

Abstract: This is the accepted version of a paper published in . This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
36
0
4

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
3

Relationship

1
8

Authors

Journals

citations
Cited by 66 publications
(45 citation statements)
references
References 30 publications
0
36
0
4
Order By: Relevance
“…While literature on the datafication of the welfare state in the U.K. and beyond has, to date, focused on concerns such as transparency, bias and lack of redress in algorithmic decision making, and the danger of digitally entrenching inequality [ 4 , 5 , 6 , 7 ], the case of the Alexafication of ASC highlights overlapping but slightly differing issues. These include data governance and privacy, the digital divide, and inequalities of access, as well as questions about adherence to technical quality and reliability standards such as those required by law for telecare equipment—concerns that have also been discussed by Hamblin in the broader context of the possibilities and challenges presented by a new generation of digital technology-enabled care services against the backdrop of the upcoming digital switchover [ 10 ].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…While literature on the datafication of the welfare state in the U.K. and beyond has, to date, focused on concerns such as transparency, bias and lack of redress in algorithmic decision making, and the danger of digitally entrenching inequality [ 4 , 5 , 6 , 7 ], the case of the Alexafication of ASC highlights overlapping but slightly differing issues. These include data governance and privacy, the digital divide, and inequalities of access, as well as questions about adherence to technical quality and reliability standards such as those required by law for telecare equipment—concerns that have also been discussed by Hamblin in the broader context of the possibilities and challenges presented by a new generation of digital technology-enabled care services against the backdrop of the upcoming digital switchover [ 10 ].…”
Section: Resultsmentioning
confidence: 99%
“…However, despite the rapidly growing use of virtual assistants in the delivery of health and social care, much social scientific work on the growing application of artificial intelligence (AI) to public services has focused on algorithmic decision-making systems [ 4 ], datafication [ 5 ], a “new public analytics” paradigm [ 6 ], and an emerging “digital welfare state” in which governments are increasingly privatising and automating welfare management [ 7 ]. Relatively few studies have examined the use of these technologies in the delivery of adult social care.…”
Section: Introductionmentioning
confidence: 99%
“…The digital divide has been amply studied in the last two decades (Norris 2001;Selwyn 2004;Mossberger et al 2008;Livingstone & Helsper 2007). Communication science literature has consistently demonstrated the complexity and dynamic character of this phenomenon and the need to distinguish different types of digital divide that encompass not only the lack of access but also the role played by skills (Norris 2001;Hargittai 2002;Van Dijk & Hacker 2003;Epstein et al 2011;Helsper 2017).…”
Section: Amentioning
confidence: 99%
“…This is problematic because when public servants make decisions based on these non-transparent algorithms, this comes at the very real risk of making (unintentional) biased decisions which could erode public trust in government (Whitakker et al, 2018). In short, for automated decision-making explainability and accessibility are prominent challenges when tasks are delegated to complex algorithmic systems (Ananny, 2016;Sandvig et al, 2016;Giest, 2019;Dencik & Kaun, 2020).…”
Section: Introductionmentioning
confidence: 99%