Can the Algorithm Speak for India? Bias, Representation and Postcolonial Power in Algorithmic Texts
Bibliographic Data
| ID | 19027827 |
|---|---|
| Authors | Randeep Kaur (0000-0002-5013-6729, corresponding author), Mahesh Arora |
| Year | 2026 |
| Volume | 8 |
| Issue | 2 |
| Publication date | 2026-03-10 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal For Multidisciplinary Research (JOURNAL) |
| Journal identifiers | ISSN: 2582-2160 |
| Publisher | International Journal for Multidisciplinary Research (IJFMR) (PUBLISHER) |
| DOI | 10.36948/ijfmr.2026.v08i02.70573 |
| OpenAlex | W7134927220 |
| Language | EN |
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
| Highly cited | No |
|---|