International Journal of Advanced Multidisciplinary Research and Studies
Volume 5, Issue 3, 2025
Long-Term Effects of Algorithm-Driven Content Consumption on Youth Development and Psychological Perceptions
Author(s): Gamboa Yrone Henrich N, Jaboli Nina Nimfa A, Pica Nina Angel L, Rosales Lyka Janelle D, Dr. Bryan Louis G Lazaro
Abstract:
This study explores the long-term impact of algorithm-driven content on how youth grow and think. As apps and social media platforms continue to personalize content using algorithms, youth aged 13 to 21 are being shaped by what they see online. Using a mix of surveys and interviews, the research examines changes in behavior, attention, and emotions from constant exposure to personalized feeds. The findings show that spending a lot of time with algorithm-based content is linked to shorter attention spans, more frequent social comparison, trouble with emotional control, and weaker real-life social skills. Previous studies highlights that the current algorithm-driven content feeds are problematic in term of addictiveness and damaging effects on childrens well-being (Hadero & Ortutay, 2024). Many participants also reported feeling stuck in echo chambers where they only saw content that matched their existing beliefs, which limited their ability to see other perspectives. Some felt dependent on their feeds, consumed content passively, and struggled to feel in control of their online experience—pointing to a strong mental connection with the technology. While these algorithms make digital content more fun and easier to access, they also create mental and emotional challenges that affect how youth build their identity and manage their well-being. The study calls for better digital education, more thoughtful and ethical algorithm design, and stronger policies to protect young users. These insights add to the growing conversation about how tech shapes mental health and stress the need for responsible tech practices to support healthier online experiences for the next generation.
Keywords: Algorithm-driven Content, Youth Development, Psychological Effects, Social Media, Attention Span
Pages: 204-238
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