Digital feeds now function as ambient threat simulators, repeatedly recruiting human stress systems via
algorithmically amplified, high-arousal content. This short communication defines “digital trauma” as a
spectrum of responses - intrusive imagery, hypervigilance, avoidance, and emotional blunting - that can
emerge without direct personal danger yet mirror vicarious trauma in mechanism and course. A proposed
model foregrounds predictive-coding shifts (hardened threat priors), large-scale network bias (Default
Mode and anterior cingulate dynamics tilting toward vigilance), and delayed HPA-axis recovery under
volatile exposure schedules. Cumulatively, this “digital adversity load” acts less like a discrete event
and more like environmental conditioning that resets baseline arousal; content moderation work offers
a concentrated occupational case. Translating mechanism into mitigation, the paper advances a dual
response: (1) trauma-informed platform design - algorithmic buffering, contextual framing, and usergoverned
exposure controls - to restore predictability and signal safety; and (2) user-initiated microrecovery
intervals - brief, structured pauses that re-engage parasympathetic regulation and interrupt
rumination loops. The argument reframes social platforms as active determinants of mental health and
outlines practical levers to align engagement logic with public-health priorities while equipping users
with immediately actionable regulation strategies.
