Computational social scientist Mesysam Alizadeh has been harnessing the wealth of network and human social data available through social media platforms to understand the roots and spread of extremist ideology. In recent projects during his Ph.D. at George Mason University and postdoctoral fellowship at Indiana University Bloomington, Alizadeh has explored the moral and emotional factors underlying political extremism. He is also studying how extremism spreads on social media by analyzing the information sharing behavior of political extremists on Twitter. Meysam was a postdoctoral associate and associate research scholar at the Empirical Studies of Conflict Project at Princeton University, studying foreign influence efforts on democratic elections. In this project, advised by Professor Jacob Shapiro, Meysam used publicly available verified data sets of foreign online influence operations to train classifiers that can identify suspicious activities on social media.
Data Science Fellow, Harvard University