MODELING USER ENGAGEMENT AMONG YOUTH IN DIGITAL PLATFORMS: A MACHINE LEARNING APPROACH

Alina ROMAN, Alina COSTIN, Tiberiu DUGHI, Liliana CIASCAI, Letiția MUNTEAN-TRIF

Abstract


As digital media becomes an integral part of daily life, young people are increasingly exposed to both opportunities and risks in online spaces. This study explores the factors that shape youth experiences with digital media, focusing on negative online behaviors such as exposure to fake information, cyberbullying, and digital peer pressure. Using a decision tree regression approach, we analyzed responses from 301 adolescents aged 11 to 17, identifying key predictors of negative online experiences. Results indicate that daily media consumption in leisure time, personal leisure and social activity importance, and parental media habits are among the strongest influencers of youth digital interactions. Findings highlight the need for targeted digital literacy initiatives and parental guidance strategies to foster safer online environments. This study contributes to understanding digital media’s impact on youth and offers practical recommendations for educators, policymakers, and parents to support responsible media engagement and digital well-being among adolescents.

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References


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