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Paper Title

From Allegory to Algorithm: Digital Dystopia and Humanitarian Resistance in 1Q84

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Registration ID: IJNRD_309293

Published ID: IJNRDI001010

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Keywords

Murakami Haruki, 1Q84, Dystopian Literature, Digital Dystopia, Algorithmic Control, Surveillance Capitalism, Humanitarian Resistance

Abstract

Haruki Murakami's 1Q84 is a sprawling and enigmatic novel often read as a modern allegory for totalitarianism. However, this study argues that the novel's dystopia, while drawing on historical precedents, is fundamentally a product of the nascent digital age. This study analyzes how Murakami's "Little People" function not only as allegorical figures of state control but also as an algorithmic force, manipulating reality, personal histories, and consciousness through a process of data-driven, non-human logic. The protagonists, Aomame and Tengo, are not simply rebels against a tyrannical regime; their resistance is a form of humanitarian defiance against this algorithmic dystopia. This analysis explores their individual acts of resistance—Aomame’s physical intervention and Tengo’s literary creation—as a reassertion of human agency, empathy, and the tangible reality of the body and emotion against the abstract, sterile, and all-encompassing control of the Little People. The paper concludes that 1Q84 offers a prescient critique of a dystopian future where control is not exerted through brute force but through the seamless integration of a rewritten reality, challenging us to consider what it means to be human in an increasingly algorithmically defined world.

How To Cite (APA)

Logapriya R & Dr. S. Vinodhini (February-2026). From Allegory to Algorithm: Digital Dystopia and Humanitarian Resistance in 1Q84. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 11(2), 44-48. https://ijnrd.org/papers/IJNRDI001010.pdf

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Paper Reg. ID: IJNRD_309293

Published Paper Id: IJNRDI001010

Research Area: Science and Technology

Author Type: Indian Author

Country: -, -, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDI001010.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDI001010

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