Ashton Anderson

Ashton Anderson is an Associate Professor in the Department of Computer Science at the University of Toronto. His research focuses on computational social science, empirical analysis of large-scale social data, social media analysis, social networks, large-scale community dynamics, algorithmic fairness and bias. He leads the Computational Social Science Lab and has published extensively on AI advice, algorithmic fairness, and digital well-being.

Ashton Anderson is an Associate Professor of Computer Science at the University of Toronto, specializing in Computational Social Science. Their research explores the intersection of technology and human behavior, focusing on how digital platforms shape social dynamics, information diffusion, and user engagement. Anderson's work includes analyzing the structural virality of online content, algorithmic effects on media consumption, and the role of user similarity in social media. They also investigate the impact of constraints on content creation, such as Twitter's character limit changes, and examine biases in language models. Their research spans topics like political polarization, synthetic data generation, and the alignment of AI with human behavior, offering insights into the societal implications of computational systems.