Navigating The Interplay of Privacy, Security, and Ethics On Social Media In The Cybersecurity Landscape

Abstract

Social media has changed the way people interact with the digital world, communicate, and exchange information. It has also brought privacy, security, and ethics into sharper relief. A fundamental concern is privacy, which includes people's rights to manage their personal data. Social networking sites are repositories of user data, which gives rise to worries about illegal access and privacy violations. Furthermore, complex algorithms make it more difficult to maintain privacy by obfuscating the distinction between invasive surveillance and individualized experiences. To protect user data and retain confidence, security is important. Social media users are vulnerable to online risks like phishing and identity theft, though, because of their interconnectedness. It's always difficult to strike a balance between security precautions and consumer comfort. The ethical implications of data monetization, algorithmic biases, and disinformation are particularly significant. Platforms face societal challenges such as digital harassment and political manipulation in addition to problems with data ownership, transparency, and responsibility. In order to overcome all of these, we have come forward with a solution that has 3 features. With the help of machine learning algorithms and python libraries, we made a solution that helps the users with these three concerns of social media.