Social Computing Task

Social computing tasks leverage computational methods to analyze and understand social phenomena, aiming to improve efficiency and scalability in social science research. Current research focuses on applying large language models (LLMs), particularly through fine-tuning and instruction-tuning, to automate tasks like data annotation and sentiment analysis, with graph neural networks also emerging for modeling complex social interactions, such as in epidemiology. These advancements offer significant potential for reducing the cost and time associated with data collection and analysis in social science, enabling broader and more efficient research on a wider range of social issues.