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https://dx.doi.org/10.18420/ec...
Other literature type . 2020
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Work of the ‘Unemployed’: A Design Fiction

Authors: Trine Rask Nielsen; Naja L. Holten Møller;

Work of the ‘Unemployed’: A Design Fiction

Abstract

This paper presents a design fiction: a research prototype of a platform for unemployed individuals trading their personal data. The design fiction questions the ramifications of an understanding of data as individual property by showing a near-future speculative scenario of what government-driven job placement could look like. Which are the kinds of accountability and agency that could be leveraged in the context of job placement if data of unemployed individuals are considered property that can be traded with the public sector in return for support? An algorithm classifies the performance of unemployed individuals based on the data they upload. This way the algorithm becomes the central mechanism for accountability and control instead of the caseworker, who acts as an arbitrator between the individual citizen and algorithm. Our purpose with this paper, and the speculative research prototype, is to create a space for reflection on dilemmas in relation to data property, accountability, and agency in public services.

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Denmark
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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green