Big Data and Social Sciences: Unlocking Insights into Human Behavior

Abstract

The integration of big data analytics with social sciences offers unprecedented opportunities to understand human behavior and societal trends. This paper explores how data science techniques, such as natural language processing and network analysis, can be applied to social science research. Topics include sentiment analysis of social media data, predictive modeling of economic trends, and the study of cultural dynamics. Drawing on examples from Australia, we highlight the potential of cross-disciplinary collaboration to generate insights that inform policy and improve societal well-being.