The Dismantled Mindset in the Age of Artificial Intelligence: Identity Fragmentation, Algorithmic Power, and a Framework for Collective Restoration

May 30, 2026Open Access

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Key Points

The aim is to explore how algorithmic systems contribute to identity fragmentation, proposing a framework for restoration.
Develop mathematical formalization of fragmentation dynamics in directed social networks.
Identify four causal mechanisms linking AI exposure to identity fragmentation.
Propose falsifiable hypotheses related to psychological outcomes.
Introduction of Dismantled Mindset Theory providing a framework for understanding identity under algorithmic influence.
Identification of four foundational forces: greed, fear, influence, and responsibility that drive fragmentation.
Proposal of a research agenda aimed at empirical validation of the Dismantled Mindset.

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This working paper demonstrates identity fragmentation caused by algorithmic systems, suggesting a framework for collective empowerment.

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Felipe Castro Quiles (2026) studied this question.

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