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September 17, 2025Proceedings of Business and Economic Studies0 citationsOpen Access

Psychoanalysis of the Attention Economy in the Era of Big Data: A Topological Interpretation Based on Lacan’s Three Orders

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YLYisheng LinQJQi JiangZZZ. B. Zhang

Key Points

  • Manipulating desire through big data-driven algorithms shapes how individuals invest their attention, fostering deeper engagement.
  • Algorithms operate as the digital big Other, leveraging traumatic surplus to construct infinite scroll experiences and stimuli.
  • Using Lacan’s framework of the Real, Symbolic, and Imaginary, the study dissects the layers of identity and desire within the attention economy.
  • The analysis advocates for critical algorithmic literacy to confront the manipulative structures in the attention economy and uphold human dignity.

Abstract

In the era of Big Data, the attention economy has emerged as a core logic of capital accumulation, yet behavioral economic explanations fail to penetrate the unconscious drives and desire structures underlying attention investment. This paper adopts Lacan’s topological framework of the three orders (the Real, the Symbolic, and the Imaginary) to conduct a psychoanalytic dissection of the attention economy. It argues that Big Data-driven attention mechanisms essentially manipulate desire across these three orders: algorithms, functioning as the “digital big Other,” exploit the Real’s traumatic surplus and the deferred structure of desire through infinite scroll and traumatic stimuli; regulate identity production in the Symbolic via visibility laws, social currency, and datafication; and construct narcissistic illusions in the Imaginary through filters, filter bubbles, and illusions of hyperconnection. Ultimately, the paper proposes an ethics of lucid attention, calling for critical algorithmic literacy, confrontation with the Real’s lack, dismantling of Imaginary illusions, and reclaiming sovereignty over attention—essential for preserving subjective dignity and human freedom in the digital age.

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Cite This Study

Lin et al. (2025) studied this question.

synapsesocial.com/papers/68d4605131b076d99fa5fa24https://doi.org/10.26689/pbes.v8i4.11875
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