THE IMPACT OF SOCIAL MEDIA ON POLITICAL POLARIZATION: A CASE STUDY OF THE 2025 U.S. PRESIDENTIAL ELECTION

Abstract

Social media has fundamentally altered the landscape of political communication, creating unprecedented opportunities for public engagement while simultaneously deepening ideological divides. This study investigates how digital platforms contribute to political polarization by reinforcing echo chambers, amplifying misinformation, and promoting extreme content. Focusing on the 2025 U.S. Presidential Election as a primary case study, we analyze the growing influence of AI-generated deepfakes, hyper-targeted political advertising, and sophisticated foreign interference campaigns. Comparative analysis of elections in the UK, India, and Brazil reveals consistent patterns of social media-driven polarization across different democratic contexts. The research employs multiple theoretical frameworks, including agenda-setting theory and networked propaganda models, to explain how algorithmic design choices and user behavior interact to exacerbate political divisions. Our findings demonstrate that platform architectures prioritizing engagement inadvertently promote inflammatory content, while the rapid evolution of generative AI tools presents new challenges for electoral integrity. Importantly, this study moves beyond diagnosis to propose actionable solutions. We evaluate the potential of algorithmic transparency measures, digital literacy initiatives, and smart regulatory approaches to mitigate polarization while preserving the democratic benefits of online discourse. The paper argues for a multi-stakeholder approach involving platforms, policymakers, and civil society to address this critical challenge to democratic governance in the digital age.