Can the Algorithm Speak for India? Bias, Representation and Postcolonial Power in Algorithmic Texts

Author(s)	Ms. Randeep Kaur, Prof. Dr. Mahesh Arora
Country	India
Abstract	Generally understood as aloof and non-aligned, algorithmic texts actively take part in the formation of histories, identity, society and how it should be comprehended by the masses. This research article studies mechanised textuality through the prism of postcolonial theory, with particular reference to India. This paper elucidates how the algorithmic texts influence and reproduce colonial and postcolonial sense of representation, implying the concepts of subalternity and epistemic violence by Gayatri Chakravorty Spivak, Michel Foucault’s concept of power and knowledge, and Ranajit Guha’s views on elite historiography.
Keywords	Subaltern, Algorithm, Postcolonial, Representation, Digitalization, Ideology
Field	Sociology > Linguistic / Literature
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-10
DOI	https://doi.org/10.36948/ijfmr.2026.v08i02.70573

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