Effect of Social Media on Self Esteem Among Various Age Groups in India

The rise of social media has become one of the most defining features of the 21st century, altering how individuals communicate, express themselves, and perceive their identities. Platforms such as Facebook, Instagram, WhatsApp, and Twitter (X) dominate the digital landscape, offering instant access to networks of friends, peers, and global communities. India, with its diverse population and rapidly expanding internet penetration, represents one of the largest user bases of these platforms. While social media fosters connection, learning, and opportunities for self-presentation, its impact on psychological constructs such as self esteem has been the subject of increasing concern and debate. Self-esteem, broadly defined as an individual’s evaluation of their self-worth (Rosenberg, 1965), is closely tied to psychological well-being, emotional resilience, and life satisfaction. The relationship between social media use and self-esteem, however, is far from straightforward. On one hand, positive online feedback and the ability to maintain social ties can enhance self-esteem. On the other, constant exposure to idealized lifestyles, upward social comparisons, and dependence on online validation may reduce it. Existing research suggests that these effects are often mediated by age, as individuals across different life stages engage with social media in distinct ways. This dissertation explores the effect of social media on self-esteem among various age groups in India, with a focus on adolescents, young adults, middle-aged adults, and older adults. The research is grounded in established psychological frameworks, including Social Comparison Theory (Festinger, 1954), which explains how individuals evaluate themselves in relation to others; Sociometer Theory (Leary & Baumeister, 2000), which links self esteem to perceived social acceptance; and Uses and Gratifications Theory (Katz et al., 1974), which highlights the motivations behind media use. Together, these theories provide a strong foundation for understanding the nuanced relationship between digital engagement and self-worth across life stages. The study adopts a quantitative, cross-sectional design involving a minimum of 100 participants from different age groups. Participants will complete a structured questionnaire consisting of demographic details, a Social Media Usage Questionnaire (assessing frequency, duration, and type of use), and the Rosenberg Self-Esteem Scale (RSES), a widely validated tool for measuring self-esteem. Data will be analysed using descriptive statistics, correlation analyses, and ANOVA tests to examine differences and associations between age groups and patterns of social media use (e.g., active vs. passive engagement). The research is expected to reveal generational differences in how social media impacts self esteem. Adolescents and young adults may be more vulnerable to downward effects due to peer pressure, identity formation, and reliance on online validation. Middle-aged adults may experience mixed effects, balancing personal identity with professional networking, while older adults may demonstrate protective factors, using social media primarily for connection and reducing loneliness. This dissertation aims to contribute to the growing body of literature by providing age specific and culturally relevant insights within the Indian context, where digitalization intersects with cultural values and generational divides. The findings are anticipated to inform educators, psychologists, policymakers, and digital literacy programs, helping to design interventions that mitigate risks while enhancing the positive potential of social media use.