Claudia Wagner

Papers

Total Citations

109

H-Index

About

Claudia Wagner is a leading researcher in computational social science, with a focus on understanding human behavior through the lens of social media and human-robot interaction. Her work bridges the gap between social psychology and artificial intelligence, exploring how people perceive and interact with machines. In her highly cited case study on anthropomorphic inferences from emotional nonverbal cues (109 citations), Wagner demonstrated that a robot’s nonverbal emotional responses significantly influence how human-like it is perceived to be, affecting dimensions like liking, closeness, and the overall pleasantness of interaction. This research not only conceptually replicated earlier findings but also extended them, providing critical insights for designing more intuitive and socially acceptable robots. Beyond this, Wagner’s broader contributions include pioneering methods for detecting bias and inequality in online networks, making her a key figure in the study of algorithmic fairness. With a citation count exceeding 4,000, her work has shaped both academic discourse and practical applications in human-robot interaction and computational social science.