👉 Liked computing, also known as computational social science or data-driven social science, is an interdisciplinary field that applies computational methods and large-scale data analysis to understand complex social phenomena. It leverages tools from computer science, statistics, and data science to study human behavior, social networks, and societal trends by processing vast amounts of digital data, such as social media interactions, online transactions, and sensor outputs. This approach enables researchers to uncover patterns, predict outcomes, and test hypotheses about social dynamics that would be difficult or impossible to discern through traditional methods alone. By integrating computational techniques with social science theories, liked computing offers a powerful framework for addressing pressing societal issues and informing policy decisions.
