Extracting and Networking Emotions in Extremist Propaganda

This paper presents a way to understand the relationship between emotive words or phrases in terrorist/extremist propaganda. The term "relationship" in this paper is defined as the degree of contact that emotional markers have in text. An ontology is used to identify emotional content before being analyzed in text networking software, specifically Automap and ORA (Organizational Risk Analyzer). Automap and ORA developed by CASOS(Computation Analysis of Social and Organizational Systems) involves computational modeling of socio-technical systems, link analysis, and network analysis. In semantic networks, closeness is a measure to understand where individual emotional nodes lie between other nodes in the network. Understanding closeness between emotive words or phrases reveals how propagandists construct their form of propaganda.