Authors: Ayush Pravin Kudale
Abstract: This study offers a repeatable, Python-based framework for unified social media analytics that uses open APIs to connect disparate platforms like YouTube, Reddit, and Twitter. The strategy promotes transparency, explainability, and real-time engagement by emphasizing cross-platform integration, user-centric sentiment analysis, and graph-based pattern recognition for actionable insights. The framework's adaptability solves the research problems of data heterogeneity, scalability, and ethical stewardship while opening up new possibilities in marketing, crisis management, public opinion tracking, and policy-making. The massive, dynamic, and diverse statistics generated by social media platforms offer enormous possibilities for examining sentiment, public opinion, trending patterns, and the spread of information
DOI: http://doi.org/10.5281/zenodo.17275671
