Beyond echo chambers: How network homophily and algorithmic recommendations shape political polarization among young Indian voters

The emergence of social media has shaken up political communication, especially among young Indians, for whom information available online has become one of the most crucial elements in the process of ideology formation and political activation. This paper highlights the structural, technological, and psychological forces that lead to enlarged echo chambers and polarised politics. Drawing upon a unifying theory based on Homophily Theory, Social Identity Theory, Selective Exposure and Algorithm Amplification, and Motivated Reasoning, it explores the direct and indirect connexions between network homophily, algorithmic content recommendations, and polarization through belief reinforcement loops. A quantitative survey of 825 young Indian voters was conducted, and the data were analyzed using Structural Equation Modelling (SmartPLS) to test the proposed framework. The results suggest that homophilous networks and algorithmic curation are important factors in echo chamber strength, resulting in increasingly polarised positions and polarization. The results point to the interaction between the architecture of individualisation, social clustering, and cognitive biases as determinants of digital political behaviour. The study pulls together several strands of thinking to make a harmonious whole by extending selective exposure and motivated reasoning theories into algorithmic settings and placing echo chamber studies within the context of a new democracy still in the making. These findings further highlight the importance of platform design and policy interventions that promote exposure to diverse views and protect deliberative democracy in practice. By placing the discourse of polarization in the Indian context, this work not only enriches the scope of echo chamber research in a global context, but also provides insights into the dilemmas of sustaining pluralism in the age of algorithmic mediation.