The Personalized Media Bubble: How Artificial Intelligence Shapes Audience Vision

Abstract

AI or Artificial Intelligence has fundamentally determined how we perceive social media, and interact within the global digital media realm. Algorithmic systems are now basically runs by AI nearly every aspect of the daily media experience, everything from social media to news recommendations. This study investigates on how AI-based personalization impacts on audience engagement, emotional response, credibility and objectivity perception to which this theory is being called Filter Bubble Theory. The research sees on how AI can now understand and generate content and also at the same time AI is controlling the users’ desires while controlling their access to different perspective, thus forming ideological spectacles and political conflict. This research also explores the severe consequences of AI developed content, including fake media (deepfakes) with respect to trust in audiences; authenticity; media literacy and behavior related aspects and the mental state. Through using multiple analysis method of surveys, interviews and platform data, the research seeks to outline the relationship between AI personalization and political segregation in Pakistan’s digital public eyes. The results will provide somewhat of insights into ethical, psychological and social implications of this AI systematic control, with concrete recommendations for transparency or accounts on AI generated content and required digital rights frameworks to make it more open and responsible digital environment.