Reverse Mood Methodologies: Ethical Algorithmic Interventions to Prevent Emotional Collapse in Youngsters (Age 14–25)

Author(s)	Chinthada Divakar
Country	India
Abstract	In digital environments, recommendation algorithms reinforce depressive content loops among emotionally vulnerable youth. This research introduces "Reverse Mood Methodologies," a conceptual framework embedded within platform algorithms that ethically detects emotional collapse signals and redirects users toward uplifting and confidence-building content. Grounded in emotional design, trauma-informed computing, and culturally adaptive strategies, it calls for a moral evolution in algorithmic priorities—from engagement to emotional recovery.
Keywords	Algorithmic ethics, emotional collapse, trauma-informed computing, youth psychology, ethical AI design, emotional recovery frameworks
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-07-11
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.50509

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