From Structural Inequalities to Labor Precarity: Adoption of Digital and AI Tools in Latin American Journalism
Abstract
While inequalities in technological access and use have been widely documented, few studies have examined their link to labor precarity and social inequality in journalism in the Global South. This article analyzes this relationship through a multilevel study of Worlds of Journalism Study data from 4,250 journalists in 11 Latin American countries. Results show that macro-level inequality, measured by the Gini coefficient, is not associated with the use of advanced digital technologies, including AI, while micro-level precarity, expressed in contractual instability and excessive workloads, is. Working conditions, rather than national disparities, are key to explaining inequalities in technology adoption.
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Authors: Miguel Garcés-Prettel, Jesús Arroyave, Summer Harlow, Lilian Kanashiro, Mariana De Maio, Janara Nicoletti, Adriana Amado, Dasniel Olivera Pérez, Martín Oller Alonso, Celeste González de Bustamante, Maximiliano Frías-Vázquez, Victor Quintanilla-Sangueza
Institutions: The University of Texas at Austin, Universidad de Salamanca, Ibero American University, TU Dortmund University, Benemérita Universidad Autónoma de Puebla, Universidad del Norte, Lehigh University, Universidad de Lima, Universidad Tecnológica de Bolívar, Camilo José Cela University