Refereed journal article or data article (A1)

Dynamics of Social Harms in an Algorithmic Context




List of Authors: Malik Hanna Maria, Viljanen Mika, Lepinkäinen Nea, Alvesalo-Kuusi Anne

Publisher: Queensland University of Technology

Publication year: 2022

Journal: International journal for crime, justice and social democracy

Journal acronym: IJCJ&SD

Volume number: 11

Issue number: 1

eISSN: 2202-8005

DOI: http://dx.doi.org/10.5204/ijcjsd.2141

URL: https://www.crimejusticejournal.com/article/view/2141

Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/68865794


Abstract

Growing evidence suggests that the affordances of algorithms can reproduce socially embedded bias and discrimination, increase the information asymmetry and power imbalances in socio‑economic relations. We conceptualise these affordances in the context of socially mediated mass harms. We argue that algorithmic technologies may not alter what harms arise but, instead, affect harms qualitatively—that is, how and to what extent they emerge and on whom they fall. Using the example of three well-documented cases of algorithmic failures, we integrate the concerns identified in critical algorithm studies with the literature on social harm and zemiology. Reorienting the focus from socio‑economic to socio-econo-technological structures, we illustrate how algorithmic technologies transform the dynamics of social harm production on macro and meso levels by: (1) systematising bias and inequality; (2) accelerating harm propagation on an unprecedented scale; and (3) blurring the perception of harms.


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Last updated on 2022-01-04 at 10:35