ScrollForge: Digital Wellbeing as a Structural Property of Social Media Platform Design

ScrollForge extends the GAM3ARCH cognitive zone framework to social media platforms, introducing three theoretical innovations: algorithmic bridge manipulation (the mechanism by which engagement-optimising recommendation systems systematically weaken recovery pathways), Nexus toxicity (the modulation of social connection by social comparison), and Involuntary Participation (the structural coercion that prevents users from disengaging). An agent-based simulation (600 agents, 1000 time steps, 5 conditions) demonstrates that engagement-optimising algorithms double burnout relative to baseline, and that Nexus toxicity amplifies this effect by 14–19 percentage points. A secondary analysis of published empirical data (Twenge et al., Orben & Przybylski, Kelly et al.) confirms consistency between model predictions and observed effect sizes. Design interventions (Back-mode, Horizon-filter, Nexus-quality controls) are formalised as bridge manipulations and predict a 42% burnout reduction without reducing time on platform. The ScrollForge Audit Checklist provides a weighted instrument for platform evaluation. Regulatory applicability is demonstrated for the EU Digital Services Act, AI Act, and GDPR Article 22.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-16
DOI
https://doi.org/10.5281/zenodo.20716377
Primary Topic
Impact of Technology on Adolescents
Type
preprint
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ScrollForge: Digital Wellbeing as a Structural Property of Social Media Platform Design

Andrey A. Skrobov
Zenodo (CERN European Organization for Nuclear Research)
Impact of Technology on Adolescents
preprint

ScrollForge: Digital Wellbeing as a Structural Property of Social Media Platform Design

Andrey A. Skrobov
preprint en

Abstract

ScrollForge extends the GAM3ARCH cognitive zone framework to social media platforms, introducing three theoretical innovations: algorithmic bridge manipulation (the mechanism by which engagement-optimising recommendation systems systematically weaken recovery pathways), Nexus toxicity (the modulation of social connection by social comparison), and Involuntary Participation (the structural coercion that prevents users from disengaging). An agent-based simulation (600 agents, 1000 time steps, 5 conditions) demonstrates that engagement-optimising algorithms double burnout relative to baseline, and that Nexus toxicity amplifies this effect by 14–19 percentage points. A secondary analysis of published empirical data (Twenge et al., Orben & Przybylski, Kelly et al.) confirms consistency between model predictions and observed effect sizes. Design interventions (Back-mode, Horizon-filter, Nexus-quality controls) are formalised as bridge manipulations and predict a 42% burnout reduction without reducing time on platform. The ScrollForge Audit Checklist provides a weighted instrument for platform evaluation. Regulatory applicability is demonstrated for the EU Digital Services Act, AI Act, and GDPR Article 22.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Impact of Technology on Adolescents
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