A CORRELATIONAL STUDY ON SOCIAL MEDIA USAGE AND SELECTED TEENAGE BEHAVIOUR AMONG ADOLESCENTS STUDYING IN SELECTED COLLEGES OF PUNE CITY

Abstract

Adolescence is a critical developmental stage characterized by rapid physical, emotional, and cognitive changes. In today’s digital era, social media platforms like Facebook, Instagram, Snapchat, and TikTok significantly influence adolescents' identity formation, social interaction, and mental well-being. While these platforms offer opportunities for self-expression and connection, they also foster unrealistic comparisons, social pressure, and reduced self-esteem. Excessive social media use has been linked to addictive behaviours, emotional instability, and distorted perceptions of reality. Concerns are growing over its impact on adolescent mental health, behaviour, and academic performance. Studies show excessive social media engagement correlates with anxiety, depression, attention problems, poor academic outcomes, and sleep disturbances. Adolescents' unsupervised access to these platforms further complicates monitoring efforts. Mass media acts as a powerful agent of socialization, influencing adolescents’ social skills, emotional regulation, and self-concept. Statistics highlight the widespread use of social media among teenagers: Facebook (120.2 million users aged 13–17), Instagram (139 million), and Snapchat (121.9 million). Gender distribution shows slightly higher male participation, except among Snapchat’s younger female users. In urban centres like Pune City, where smartphone and internet access is widespread, understanding the relationship between social media usage and adolescent behaviour is crucial. This study explores that correlation among college-going youth, aiming to inform strategies for promoting digital wellness. Material and Methods: A quantitative, non-experimental correlational study was conducted with 100 adolescents selected through convenience sampling. Data were collected using a Likert scale for social media use and a validated self-assessment tool for behavioural patterns. Results and Conclusion: Findings revealed 90% exhibited some degree of social media addiction. A significant positive correlation (r = 0.78, p < 0.05) was found between usage and behavioural dysregulation, influenced by age, gender, and academic performance. Early mobile use and moderate behavioural dysregulation were common, highlighting the need for responsible digital engagement.