*This is a HYBRID Event
in-person attendance in Levine 307
virtual attendance via Zoom here: https://upenn.zoom.us/j/96752545230?pwd=QmdzUFZQT2FtRGJzMGFSdVp1eGRLUT09
Diversity and Inequality in Social Networks
Online social networks often mirror inequality in real-world networks, from historical prejudice, economic or social factors. Such disparities are often picked up and amplified by algorithms that leverage social data for the purpose of providing recommendations, diffusing information, or forming groups. In this talk, I discuss an overview of my research involving explanations for algorithmic bias in social networks, briefly describing my work in information diffusion, grouping, and general definitions of inequality. Using network models that reproduce inequality seen in online networks, we’ll characterize the relationship between pre-existing bias and algorithms in creating inequality, discussing different algorithmic solutions for mitigating bias.