The evolution of social media: implications for privacy and personal data

This paper investigates the evolutionary trajectory of social media platforms, tracing their development from early web-based iterations to the pervasive mobile applications prevalent today. Through this exploration, it examines the consequential shifts in user privacy and personal data security, elucidating how the evolution of social media has fundamentally altered the digital privacy landscape. Delving into key milestones such as the advent of Android and iOS operating systems in 2008, the paper analyzes the expansion of data collection capabilities facilitated by mobile apps, including permissions and sensor access. It further investigates the role of social media algorithms, from universal algorithms to AI-driven personalized recommendations, and their implications for targeted advertising and friend suggestions. Through case studies and examples, the paper highlights instances of privacy breaches and algorithmic manipulation, illustrating the intersection between social media algorithms and personal data security. Additionally, it discusses the broader implications for users, including psychological effects and societal impacts, and evaluates existing regulatory frameworks and industry responses. Finally, the paper offers mitigation strategies and recommendations to safeguard user privacy and personal data in the evolving landscape of social media.