Social Dynamic

Social dynamics research investigates how individuals and groups interact, focusing on understanding the mechanisms driving collective behavior and information spread. Current research leverages large language models (LLMs) and graph neural networks to analyze diverse data sources, including social media and online communities, to model social phenomena like othering, conflict, and cooperation, often employing techniques like instruction-tuning and contrastive loss functions. These advancements offer valuable insights into complex social processes, informing areas such as public health, conflict mitigation, and the design of more socially aware AI systems.