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How do we speak about algorithms and algorithmic media futures? Using vignettes and scenarios in a citizen council on data-driven media personalisation

Das, Ranjana, Wong, Yen Nee, Jones, Rhianne, Jackson, Philip JB (2024) How do we speak about algorithms and algorithmic media futures? Using vignettes and scenarios in a citizen council on data-driven media personalisation. New Media and Society, . ISSN 1461-4448. E-ISSN 1461-7315. (doi:10.1177/14614448241232589) (KAR id:105348)

Abstract

‘New’ media and algorithmic rules underlying many emerging technologies present particular challenges in fieldwork, because the opacity of their design, and, sometimes, their real or perceived status as ‘not quite here yet’ – makes speaking about these challenging in the field. In this article, we use insights from a three-stage citizens council investigating citizens’ views on developments in data-driven media personalisation to reflect on the potentials of using future-orientated vignettes and scenarios in data collection on user experiences, expectations and the ethics of algorithms. We present the possibilities and potentials of using vignettes as part of a data collection approach in user-centric algorithm studies which invites users’ contextual experiences of algorithms but also enables more normative reflections on what good looks like in contemporary datafied societies.

Item Type: Article
DOI/Identification number: 10.1177/14614448241232589
Uncontrolled keywords: algorithms; datafication; methodology; qualitative; users
Subjects: H Social Sciences
Divisions: Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research
Funders: University of Surrey (https://ror.org/00ks66431)
Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 18 Mar 2024 15:06 UTC
Last Modified: 05 Nov 2024 13:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/105348 (The current URI for this page, for reference purposes)

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