Analyzing Behavioral Changes in the Elderly under the Influence of Social Media Through the Lens of the Technology Acceptance Model

This study explores the behavioral changes of elderly users (aged 60-65) when engaging with social media, using the Technology Acceptance Model (TAM) as the analytical framework. With global aging trends accelerating, understanding how older adults adapt to new technologies is increasingly critical. While most existing research focuses on younger populations, this study aims to address the gap in literature by examining the perceptions and usage patterns of elderly social media users. TAMs key constructsPerceived Usefulness (PU) and Perceived Ease of Use (PEOU)are applied to understand how social media influences elderly users' social interactions, media consumption, and health-related behaviors. The findings reveal that social media enhances older adults sense of connection with family and friends, reduces loneliness, and increases social participation, all of which contribute to higher PU and PEOU. Moreover, the study highlights the digital divide, noting the challenges of technophobia, lower digital literacy, and susceptibility to misinformation among elderly users. Comparative analysis with younger users underscores generational differences in technology adaptability, content preferences, and security awareness. The study concludes with recommendations for enhancing the user experience of elderly social media users by addressing their unique needs and fostering inclusivity in digital platforms.