ORCID
Srividya Ramasubramanian: 0000-0003-2140-8008 | Mohan Dutta: 0000-0002-2228-8100
Document Type
Article
Date
2023
Keywords
social justice, data justice, decolonizing, quantitative criticalism, communication theory.
Language
english
Acknowledgements
We are grateful to Chelsea Bouldin for her assistance with proofreading.
Disciplines
Film and Media Studies
Description/Abstract
In this article, we present an alternative framework that resists hegemonic social sciences within data-driven communication theorizing through a culture-centered approach (CCA). Building on the CCA in co-creating voice infrastructures at the margins, we argue that data justice requires transforming interpretive data framings, disrupting the hegemonic registers of knowledge production constituted around data, and working with/through data to challenge the structures of capitalism and colonialism that circulate the practices of exploitation and extraction. We build upon community-engaged projects emergent from the CCA in/with/from the Global South to propose the CODE^SHIFT Model, grounded in principles of equity-mindedness, collective impact, purposiveness, and systemic change. It highlights what data justice looks like in various stages of community-led transformation: identifying pressing social problems; bridging cross-sector coalitions and partnerships; organizing for collective impact activities; and sustaining capacity building. We reframe data as pluriversal, embodied, sacred, sovereign, disruptive, solidarity, and impossibility.
Recommended Citation
Srividya Ramasubramanian, Mohan J Dutta, The CODE^SHIFT model: a data justice framework for collective impact and social transformation, Human Communication Research, Volume 50, Issue 2, April 2024, Pages 173–183, https://doi.org/10.1093/hcr/hqad050
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
