What question did this study set out to answer?

The essay aims to explore how digital platforms engage with trauma-informed critiques.

January 6, 2026Open Access

Metabolizing Containment: Visibility Breach in Social Media and Search Engines

Key Points

The essay aims to explore how digital platforms engage with trauma-informed critiques.
Analyzes three specific events of content suppression: AI loop, visual misrender, and buried Substack post.
Utilizes concepts from algorithmic bias, content moderation, and platform governance.
Frames platform failures as structural outputs within a broader containment logic.
Demonstrates that algorithmic systems impose limits on clarity and discourse.
Finds that suppression events serve as artifacts revealing systemic resistance.
Suggests creators can transform the effects of suppression into a legacy archive.

Abstract

Metabolizing Containment examines how digital platforms convert trauma‑informed critique into algorithmic friction, misclassification, and engineered invisibility. Drawing on scholarship in algorithmic bias, content moderation, and platform governance, the essay sequences three suppression events—an AI loop, a visual misrender, and a buried Substack post—as diagnostic artifacts that reveal how engagement‑driven systems constrain clarity and destabilize critical discourse. By treating each breach as a timestamped node within a broader containment logic, the essay reframes platform failures as structural outputs rather than isolated glitches. This approach demonstrates how creators can metabolize suppression into a resilient legacy archive, transforming loops, distortions, and silences into durable evidence of systemic resistance.

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