<p>This study explores the emerging area of personality prediction using social media, emphasizing the simultaneous emphasis on improving research methods and addressing ethical concerns. The widespread use of digital technology, especially social media, presents an interesting opportunity to automatically detect personality traits from digital footprints. The study conducts an extensive analysis of existing literature to extract important findings regarding contemporary methods for predicting personality through automation. It thoroughly reviews different personality models, computational datasets, and sources of social media data. The primary contribution of this research is its thorough examination of the complex correlation between online social behaviors and personality traits, highlighting the potential of using social media behaviors as dependable indicators of personality. This investigation demonstrates the power of digital footprints to provide profound insights into human psychology, leading to substantial impacts on the disciplines of psychology, marketing, and social media design. Furthermore, the study thoroughly examines the ethical issues associated with forecasting personality traits, highlighting the imperative of employing ethical research methodologies, transparency, and preserving privacy when utilizing social media data. The main objective of this study is to integrate empirical evidence, theoretical frameworks, and ethical considerations to establish the framework for future research that is both scientifically rigorous and ethically responsible. Our findings provide illumination on the challenges and opportunities in personality prediction research.</p>