COMPUTATIONAL SOCIAL SCIENCE

CSS SEMINAR - FALL 2015 OPENING DAY

Friday, September 4, 2015, 3:00 p.m.
Center for Social Complexity Suite
Research Hall, Third Floor

TITLE: Studying the Profiles of Extremists in the United States Using Social Media Data

Meysam Alizadeh, PhD Candidate
Computational Social Science Program
Department of Computational and Data Sciences

ABSTRACT: The goal of this study is to identify active online individual extremists in the United States and characterize the personality and psychological correlates of left wing extremists (LWE) and right wing extremists (RWE) using language expressed on Twitter. Our list of psychological features includes social relationships, disengagement, emotions, and psychological engagement. Moreover, we seek to develop a data-driven extremism lexicon that can be used in future research to identify individual extremists based on the content they post on Twitter. The results of this project assist policy makers and scholars in gaining a deeper understanding of individual extremists in the United States.