Building data citizenship and learning to resist in the datafied society

This paper explores what literacies people need to challenge big tech companies. We selected key digital rights practitioners, who mediate between policy and public awareness and have diverse experiences in working with people to critique and change the power asymmetries we have with big tech companies. Investigating how citizens can negotiate with big tech companies based on the experts’ insights highlighted the inequalities involved and how data literacy stands as a collective and structural barrier. Four key themes emerged from the interviews: contextual awareness, real or imagined concerns, who is responsible for creating and solving problems, and resistance possibilities. Drawing on the Data Citizenship framework, we show how these findings can be translated into civic action which involve different actors: government, Big-Tech, media, NGOs, and society. Importantly, we found it was difficult to imagine what an ‘ideal world’ would look like. Therefore, we argue that once we can imagine and verbalize how we want our data-driven future to look like, it will be easier to proactively strategize and work towards it.

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Publication Details

Journal
Learning Media and Technology
Published
2025-05-22
DOI
https://doi.org/10.1080/17439884.2025.2505553
Citations
1
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
2.37

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article

Building data citizenship and learning to resist in the datafied society

Panagiota Nakou, Elinor Carmi
1 citations
Learning Media and Technology
Ethics and Social Impacts of AI
2.37
article

Building data citizenship and learning to resist in the datafied society

Panagiota Nakou, Elinor Carmi
article en
1 citations

Abstract

This paper explores what literacies people need to challenge big tech companies. We selected key digital rights practitioners, who mediate between policy and public awareness and have diverse experiences in working with people to critique and change the power asymmetries we have with big tech companies. Investigating how citizens can negotiate with big tech companies based on the experts’ insights highlighted the inequalities involved and how data literacy stands as a collective and structural barrier. Four key themes emerged from the interviews: contextual awareness, real or imagined concerns, who is responsible for creating and solving problems, and resistance possibilities. Drawing on the Data Citizenship framework, we show how these findings can be translated into civic action which involve different actors: government, Big-Tech, media, NGOs, and society. Importantly, we found it was difficult to imagine what an ‘ideal world’ would look like. Therefore, we argue that once we can imagine and verbalize how we want our data-driven future to look like, it will be easier to proactively strategize and work towards it.

Learning Media and Technology
St George's, University of London (GB), University of Manchester (GB), Universidad de Londres (MX), City St George's, University of London (GB)
City, University of London
Reduced inequalities
Openalex Percentile: Top 12%
Ethics and Social Impacts of AI
2.37
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Building data citizenship and learning to resist in the datafied society — Panagiota Nakou, Elinor Carmi · Learning Media and Technology (2025) | TGRS Research Map | TGRS