Author archives

Homa Hosseinmardi, Associate Research Scientist in Computational Social Science, University of Pennsylvania. 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.

Don’t be too quick to blame social media for America’s polarization – cable news has a bigger effect, study finds

Homa Hosseinmardi and a group of researchers from Stanford University, the University of Pennsylvania and Microsoft Research tracked the TV news consumption habits of tens of thousands of American adults each month from 2016 through 2019. They discovered four aspects of news consumption that, when taken together, paint an unsettling picture of the TV news ecosystem.

Subjects: Communications, Internet Trends, KM, Social Media