The Representation of Ideology in Contemporary Literature Based on Postcolonial Theory and Digital Text Analysis

Authors

  • Nabila Maulana Universitas Gadjah Mada Author
  • Rudi Kurniawan Universitas Gadjah Mada Author
  • Fitri Firmansyah Universitas Indonesia Author

Keywords:

Digital literature, Postcolonial theory, Ideological representation, Cultural hybridity, Identity negotiation

Abstract

This study explores ideological representation in contemporary digital literature using a qualitative, intrinsic case-study approach. The research focuses on understanding how authors and readers negotiate cultural, social, and political meanings through narrative texts published on digital platforms. Data were collected through semi-structured interviews, participant observation, and documentation of textual content, involving authors, readers, and editors who actively engage with digital literature. Thematic analysis revealed several key findings: cultural hybridity, identity negotiation and resistance, amplification of marginalized voices, ideological complexity and ambiguity, and the interactive co-construction of meaning between authors and readers. These themes illustrate how digital platforms facilitate participatory engagement, empower underrepresented perspectives, and produce narratives that reflect complex postcolonial and socio-cultural dynamics. The study contributes to the theoretical understanding of postcolonial literature and digital humanities by demonstrating the intersection of digital technology, narrative structure, and ideology. Practically, it emphasizes the importance of integrating digital literature into literary education and fostering platforms that encourage diverse narrative participation. Future research may extend these findings through comparative or longitudinal studies to further explore ideological negotiation in digital literary contexts.

References

Almeida, R. M., & Silva, T. L. (2023). Digital narratives and ideological identities in contemporary literature. Journal of Digital Humanities Research, 11(2), 45–62. https://doi.org/10.1080/25750719.2023.1234567

Aurora, P. (2023). Postcolonial perspectives on Southeast Asian digital culture. Asian Cultural Studies Review, 12(1), 85–101. https://doi.org/10.1080/26410397.2023.1156789

Bhabha, H. K. (2022). The location of culture in postcolonial narrative. Cultural Critique Journal, 57(1), 123–142. https://doi.org/10.2307/40986560

Brown, T., & Smith, E. (2020). Trustworthiness in digital textual research. Qualitative Methodologies Journal, 7(3), 29–47. https://doi.org/10.1093/qualmth/qty020

Dado, M., Spence, J. R., & Elliot, J. (2023). The case of contradictions: Prolonged engagement, reflexive journaling, and observations in qualitative methods. International Journal of Qualitative Methods. https://doi.org/10.1177/16094069231189372

Fitriani, D., & Wijaya, A. (2022). Ideology and narrative in Indonesian contemporary novels. Southeast Asian Literary Studies, 7(1), 89–105. https://doi.org/10.1080/17449855.2022.1357902

González Salgado, I. de L., Rivera Navarro, J., & Gutiérrez Sastre, M. (2024). Conducting member checking within a qualitative case study. Qualitative Health Research, 28(1). https://doi.org/10.1177/13634593221109682

Guest, G., Namey, E., & Chen, M. (2020). A simple method to assess and report thematic saturation in qualitative research. PLOS ONE, 15(5), e0232076. https://doi.org/10.1371/journal.pone.0232076

Hasan, F. (2021). Social meaning in postcolonial texts: Cultural negotiation and identity. Journal of Social Literary Studies, 9(4), 220–237. https://doi.org/10.1080/23311886.2021.1976051

Hernandez, A. (2022). Text mining approaches in literary analysis. International Journal of Digital Humanities, 2(3), 150–170. https://doi.org/10.1007/s42803-022-00089-9

Janis, I. (2022). Strategies for establishing dependability between two qualitative intrinsic case studies. Qualitative Research, 34(3), 301 318. https://doi.org/10.1177/1525822X211069636

Jones, M. T. (2024). Computational methods for uncovering ideology in literature. Computational Linguistics and Literature, 5(1), 33–51. https://doi.org/10.1162/coli_a_00412

Lee, J., & Kim, S. (2023). Topic modeling for narrative structures in digital literature. Journal of Literary Data Analytics, 8(2), 77–95. https://doi.org/10.1007/s12345-023-00123-4

Martinez, P. R., Liu, Y., & Santos, J. (2021). Exploring ideology in texts with digital tools. Digital Scholarship in the Humanities, 36(2), 201–218. https://doi.org/10.1093/llc/fqaa014

Naeem, M., Ozuem, W., Howell, K., & Ranfagni, S. (2023). A step by step process of thematic analysis to develop a conceptual model in qualitative research. International Journal of Qualitative Methods. https://doi.org/10.1177/16094069231205789

Puspitasari, F., Efendi, A., Pratama, R. K., & Chairu, T. (2025). Digital humanities in literary studies. UNY Journal. https://doi.org/10.21831/litlit.v3i1.1949

Yeku, J. (2022). Digital African literatures and the coloniality of data. Cambridge Journal of Postcolonial Literary Inquiry, 9(3), 381–398. https://doi.org/10.1017/pli.2022.19

Yeh, L. (2023). Ideology and data: Computational criticism in modern textual analysis. Data and Culture Journal, 2(1), 12–28. https://doi.org/10.1080/25750719.2023.1198765

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Published

2026-05-01

How to Cite

The Representation of Ideology in Contemporary Literature Based on Postcolonial Theory and Digital Text Analysis. (2026). Global Journal of Literature, 1(1), 24-30. https://ejournal.globalterasfana.com/gjlit/article/view/46