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     2026:7/2

International Journal of Multidisciplinary Research and Growth Evaluation

ISSN: (Print) | 2582-7138 (Online) | Impact Factor: 9.54 | Open Access

Algorithmic Exhaustion: A Cyber Psychological Investigation into the Nexus of Social Media Algorithms, Cognitive Fatigue, and Digital Addiction

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Abstract

The contemporary digital landscape is characterized by the omnipresence of algorithmic curation, a technological paradigm that actively shapes user behavior through variable reinforcement schedules and personalized content delivery. This Systematic Literature Review (SLR) investigates "Algorithmic Exhaustion," a state of cognitive and emotional depletion resulting from prolonged interaction with infinite-scroll architectures. Following PRISMA 2020 guidelines, we synthesized data from 40 open-access studies, including large-scale meta-analyses (N=2,123,762) and experimental physiological trials. The quality of included studies was appraised using JADAD, CASP, and AXIS tools. Results indicate that global digital addiction prevalence is approximately 17.42% for social media specifically. Structural Equation Modeling (PLS-SEM) confirms that information overload and Fear of Missing Out (FoMO) are primary antecedents of fatigue (p < 0.001), which mediates the pathway to compulsive use. Furthermore, eye-tracking evidence reveals that "infinite scroll" mechanics induce specific gaze patterns that override natural stopping cues. This report concludes with evidence-based recommendations for platform architecture reform, moving beyond abstinence models to "agency-restoration" frameworks.

How to Cite This Article

Khushpreet Singh, Kuldeep (2024). Algorithmic Exhaustion: A Cyber Psychological Investigation into the Nexus of Social Media Algorithms, Cognitive Fatigue, and Digital Addiction . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 5(4), 1440-1443. DOI: https://doi.org/10.54660/.IJMRGE.2024.5.4.1440-1443

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