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

Bibliographic Data

ID19027827
AuthorsRandeep Kaur (0000-0002-5013-6729, corresponding author), Mahesh Arora
Year2026
Volume8
Issue2
Publication date2026-03-10
Open AccessYes
TypeARTICLE
VenueInternational Journal For Multidisciplinary Research (JOURNAL)
Journal identifiersISSN: 2582-2160
PublisherInternational Journal for Multidisciplinary Research (IJFMR) (PUBLISHER)
DOI10.36948/ijfmr.2026.v08i02.70573
OpenAlexW7134927220
LanguageEN

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

Colonialism · Elite · Textuality · Anthropological Studies and Insights · Postcolonial and Cultural Literary Studies · South Asian Studies and Diaspora

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