Authors: Anuradha Muttamwar, Devashri Ghotekar, Damini Mishra
Abstract: In the contemporary digital landscape, social media has become an integral part of daily communication for billions of users worldwide. While these platforms facilitate connectivity and self-expression, the growing trend of oversharing personal information has created unprecedented cybersecurity and privacy risks. Users increasingly disclose sensitive information such as location details, financial data, personal relationships, and health conditions, often without fully comprehending the potential consequences. This research presents a comprehensive study on oversharing culture, examining how habitual social media usage patterns intensify individual vulnerability to identity theft, social engineering attacks, data breaches, and psychological manipulation. The study integrates behavioral analysis, cybersecurity assessment frameworks, and vulnerability evaluation metrics to understand the mechanisms driving oversharing behavior and its security implications. Through survey-based analysis and comparative study of social media platforms, we examine the psychological motivations behind excessive self-disclosure, including the role of social validation through likes and comments, platform design strategies, and individual personality traits. The research demonstrates that approximately 93% of users who overshare personal information face significant privacy and security risks, making vulnerability assessment and user education critical priorities. The proposed framework employs data analysis techniques, behavioral pattern recognition, and machine learning algorithms to identify vulnerability indicators and predict susceptibility to cyber threats. The visualization layer presents findings through interactive dashboards and heat maps, enabling users and security professionals to understand oversharing risks and implement protective measures. Our findings indicate that comprehensive awareness programs, behavioral intervention strategies, and platform-level privacy controls can significantly reduce vulnerability when combined with individual digital literacy initiatives.
