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“Either Companionship or Death”: Zero-Directionality and the Structural Disappearance of the Social Other

Submitted:

09 May 2026

Posted:

11 May 2026

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Abstract
The connectivity paradox of contemporary platforms — unprecedented technical connectivity alongside rising loneliness, passivity, and erosion of deliberative public space — has been diagnosed as a problem of attention, design, or scale. We argue it is a symptom of a more fundamental shift: the architectural removal of the human social other from communicative circuits. This paper introduces directionality as a formal variable that captures the presence, absence, and configuration of the human other, and traces its variation from bidirectional social graphs through unidirectional interest graphs to Zero-Directionality, where the user interacts with a synthetic partner alone. Drawing on Luhmann’s social systems theory, Simmel’s analysis of dyadic and triadic forms, and the Latour–Verbeek tradition of technological mediation, we show that zero-directionality is a structural threshold rather than a point on a continuum. When the human other is removed, the Luhmannian third selection collapses, the Simmelian dyad faces a binary choice, and the social form bifurcates into two divergent trajectories. In the Inverted Loop (−1SC), the machine absorbs the structural position of the other, the user becomes operand in a self-referential circuit, and agency contracts from authorial to inhibitory. In the Triadic Mesh (3SC), AI mediates between humans rather than replacing them, preserving human connection while transforming its operation. We propose three diagnostic tests: Adaptation Loop, Agency Topology, Bounding Variable. These tests determine which regime a given system instantiates, and apply them across major consumer platforms. The framework reframes contemporary debates about AI and democracy, autonomy, and the right to the future tense as questions about which directionality regime a given AI-mediated environment instantiates — a question of design, not destiny.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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