How Predictive Systems Reshape Authorial Signature in the Post‑Web Era

This essay examines stylometric drift as a structural consequence of predictive mediation. It traces how AI systems reshape authorial identity through smoothing pressures, semantic averaging, and vocabulary compression, gradually pulling writers toward the center of semantic probability. The work analyzes cross‑platform drift patterns, the erosion of stylistic asymmetry, and the emergence of homogenized cadence in AI‑assisted writing environments. It concludes by proposing a stylometric firewall—density, rhythmic asymmetry, lineage anchoring, and recursive structuring—as a method for preserving stylistic integrity in the post‑web era. This essay operates within the SignalRupture canon, extending the diagnostic lineage established in Quiet Governance, Systemic Erosion Theory, Infrastructural Exposure Theory, Slow Harm Theory, Social Infrastructure Theory, and Morality on Trial, alongside the applied surfaces Metadata Suppression and Stylometric Resistance and the stylometric capsule Triggering the System’s Immune Response.