Social Media Ecosystems, communities, formation, & radicalization

Abstract

This thesis and research investigates the influence of social media on modern political landscapes and specifically analyzes how AI powered algorithms contribute actively to online polarization and radicalization. Focusing primarily on political SoMe ecosystems, this study explored the formation and cross platform fluidity of ideological communities, as an observational experiment involved creating fresh user profiles on notable platforms in order to simulate and track content exposure pathways. The results were quite shocking, as they revealed a rapid and concerning algorithmic pattern as both quickly transitioned from standard content to highly sensitive and extreme ideological narratives, effectively sealing mer inside of self reinforced echo chambers. The research conducted highlighted a critical need for improved digital literacy among users, and a greater accountability for platform owners to mitigate societal implications of these powerful AI driven ecosystems.