SUBORDINATED BY THE ALGORITHM: EXPLORING DATA COLONIALISM AMONG LATIN AMERICAN CITIZENS
Keywords:Data colonialism, Latin America, Participatory research
AbstractData colonialism refers to the processes by which extracted data is commodified to reproduce and expand capitalist and colonialist practices. As data colonialism transforms infrastructures and ideologies to exercise new ways of control, it has become a crucial approach to better understand how datafication transforms and impacts citizens' lives across the world—especially in the Global South. In this paper, we explore data colonialism as a lens to examine how Latin American citizens' are impacted by their engagement with different information systems. More specifically, we present findings from a collaboration with civic data organizations in five countries in Latin America. Overall, findings show how relying on data colonialism underscores the impacts to citizens when they engage with contemporary information systems, including material and physiological harm to individuals, fragmentation of communities, and various ideological shifts. However, findings also call attention to the value of integrating other theoretical approaches that emphasize discussions about agency, contextualization, and the benefits of datafication. Overall, this paper discusses how data colonialism hurts individuals, target communities, and transforms citizens' imaginaries about their place in society.
How to Cite
Morales, E., & Reilly, K. (2023). SUBORDINATED BY THE ALGORITHM: EXPLORING DATA COLONIALISM AMONG LATIN AMERICAN CITIZENS. AoIR Selected Papers of Internet Research, 2022. https://doi.org/10.5210/spir.v2022i0.13058