Homa Hosseinmardi, Ph.D.
- Associate Research Scientist, Computational Social Science Lab
Homa Hosseinmardi’s research conducts studies on misleading and biased information; political radicalization and algorithmic bias on online platforms; and misbehavior on online social networks utilizing the advances in computational methods.
Homa Hosseinmardi is a senior research scientist in the Computational Social Science Lab at the University of Pennsylvania. Her research lies at the interface of computational social science, statistical inference, and complex networks, wherein she is interested in questions around making sense of human behavior. Her work couples the availability of large-scale data and advances in sensing technology with computational methods to answer fundamental questions varying from wellbeing and affect to radicalization and hate. She also contributes as an external researcher at the CU CyberSafety Research Center. She received her Ph.D. in Computer Science from the University of Colorado Boulder in 2015.
Education
- Ph.D., University of Colorado Boulder, 2015
Selected Publications
The YouTube Algorithm Isn’t Radicalizing People
A new study from the Computational Social Science Lab finds that the YouTube recommendation system is less influential on users’ political views than is commonly believed.