THE TRANSFER OF INTERNATIONAL CASES OF ALGORITHMIC INJUSTICE TO TURKISH DIGITAL MEDIA: A DISCURSIVE REPRESENTATION ANALYSIS

This study examines how internationally reported cases of bias and injustice related to artificial intelligence and algorithmic decision systems are translated and discursively reframed within Turkish digital media. It analyzes how global cases circulate through translation and external sourcing, shaping public understandings of algorithmic injustice. Drawing on critical algorithm studies, the research conceptualizes algorithmic bias not as a technical malfunction but as an expression of power relations embedded in data capitalism, racial inequality, and labor regimes. The analysis is based on 19 Turkish-language media texts selected through purposive sampling and examined using reflexive thematic analysis. Findings show that algorithmic injustice is predominantly framed as a technical error or an external issue associated with foreign institutions and global technology companies, while structural dimensions such as data capitalism and socio-economic inequality remain less visible. The study also suggests that reliance on internationally sourced news and translation-based reporting practices contributes to the technocentric and depoliticized language through which algorithmic harm is represented. By situating media discourse within the circulation of global narratives, the study demonstrates how algorithmic injustice is localized through media transfer processes and shaped by the dynamics of translation journalism and transnational information flows.