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

Bibliographic Data

ID6443350
AuthorsRanjana Das (0000-0003-0100-1817, University of Surrey, corresponding author), Yen Nee Wong (0000-0003-1776-5221, University of Kent), Rhia Jones (0000-0002-8749-9953, BBC, UK), Philip J B Jackson (0000-0001-7933-5935, University of Surrey), Philip JB Jackson (University of Surrey)
Year2024
Volume27
Issue7
Pages3931-3949
Publication date2024-03-08
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueNew Media & Society (JOURNAL)
Journal identifiersISSN: 1461-4448 • E-ISSN: 1461-7315
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/14614448241232589
OpenAlexW4392587736
LanguageEN
Citations received1
References cited34

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

Algorithm · Economics · Futures contract · Personalization · Social media · Sociology · World Wide Web · Computer Science · Digital Games and Media · Ethics and Social Impacts of AI · Innovative Human-Technology Interaction

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