Data Publics: An Empirical and Comparative Approach to Datafication

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Authors: Florence Millerand, Mélanie Millette, Alexandre Coutant, Guillaume Latzko-Toth
Cited by: 1

Abstract

This article presents an empirical and comparative framework for understanding datafication through the lens of data publics. We define data publics as social groups that engage, or might be expected to engage, with data generated about, by, or for them. Through ethnographic case studies conducted in various contexts, including open data, health data, and data activism, this article explores how data initiatives are developed in relation to imagined publics, which ultimately confront actual publics. This study introduces an analytical framework that integrates diverse tensions between conceptions of the public (passive versus agentive, ideal versus empirical, cognitive versus affective) to facilitate a nuanced analysis of data publics. The article emphasizes the complexity inherent in these publics and the ways developers of data initiatives relate to them, and highlights the necessity of examining underlying power dynamics to gain a more in-depth understanding of publics’ agency within the broader landscape of datafication.

Fields of Study & Subjects

Data Analysis and Archiving Ethics and Social Impacts of AI Research Data Management Practices

Publication details

Journal / source
International journal of communication
Publisher
USC Annenberg Press
Volume
20
Pages
862–883
Publication date
26 February 2026
Language
EN