UNVEILING THE IMPACT AND PROSPECTS OF AI ON INDIAN VOTING BEHAVIOUR

Abstract

The proliferation of AI technologies enables political parties to adopt data-driven approaches to decision making, campaign strategy formulation, and resource allocation. By harnessing the power of predictive analytics, machine learning, and natural language processing, political strategists can analyze vast troves of data to identify electoral trends, anticipate voter behavior, and optimize campaign tactics.

A study conducted by the Centre for the Study of Developing Societies (CSDS) and its report on ‘Social Media and Political Behaviour’ published in 2019 revealed that AI-powered predictive models accurately predicted election outcomes in several Indian states with a high degree of precision. By analyzing historical voting patterns, demographic data, and socio-economic indicators, these models provide valuable insights into swing constituencies, marginalized communities, and emerging electoral trends.