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.
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Zoë Wyatt
Wyatt Technology (China)
Neurology and Neuroscience
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Zoë Wyatt (Tue,) studied this question.
synapsesocial.com/papers/68f10ecee6a12fd042899a8a — DOI: https://doi.org/10.33425/2692-7918.1111