Paper Contents
Abstract
The 2024 Indian General Elections marked an unprecedented transformation in electoral dynamics through digital engagement. This comprehensive study presents a novel multimodal analysis framework for understanding voter sentiment and engagement patterns during this pivotal democratic exercise. Our research incorporates advanced machine learning techniques across text, image, and video analysis, complemented by sophisticated network analysis of social media interactions. By analyzing over 5 million social media posts, news articles, and multimedia content, we reveal the complex interplay between online sentiment, engagement patterns, and electoral outcomes. The study makes significant contributions to understanding how visual and interactive content shapes voter perceptions, the influence of digital communities and opinion leaders, and the ethical implications of AI-driven analysis in democratic processes. Furthermore, we examine the impact of emerging technologies like deepfakes and AI-driven misinformation on electoral integrity, proposing concrete strategies for maintaining democratic authenticity in the digital age.
Copyright
Copyright © 2025 Pavan Kumar Goyal, Dr. Prashant Sen, Dr. Anil Pimplapure. This is an open access article distributed under the Creative Commons Attribution License.
