A Study on Algorithmic Spatial Representation in the Metamedium Environment - focused on the works of Trevor Paglen -

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Key Points

This research aims to investigate the crisis of data trust and the uncertainties in perceptual environments caused by algorithmic hallucinations.
Examined the concept of 'algorithmic spatial representation' in the context of data infrastructure.
Explored Trevor Paglen's theories on operational images and developed artistic methodologies like reverse algorithms.
Categorized Paglen's work into geographic, potential, and operational sites to analyze the spatialization of data.
Geographic sites visualize the foundational aspects of representation by summoning abstract networks as physical entities.
Potential sites shape hidden layers of operations within algorithms, revealing concealed dynamics.
Operational sites expose how technological systems occupy real spaces, displacing human perceptual sovereignty.

Demonstrates the impact of algorithmic spatial representation, indicating the need for critical examination of data environments.

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K. Kim (2026) studied this question.

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