Title :
Extracting and Networking Emotions in Extremist Propaganda
Author_Institution :
Dept. of Justice Studies & Sociology, Norwich Univ., Northfield, VT, USA
Abstract :
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.
Keywords :
emotion recognition; ontologies (artificial intelligence); psychology; risk analysis; semantic networks; socio-economic effects; terrorism; text analysis; Automap; CASOS; ORA; computation analysis of social and organizational systems; computational modeling; emotion extraction; emotion networking; emotional content identification; emotional markers; emotional nodes; emotive phrases; emotive words; extremist propaganda; link analysis; network analysis; ontology; organizational risk analyzer; semantic networks; socio-technical systems; terrorist propaganda; text networking software; Context; Educational institutions; Encoding; Ontologies; Semantics; Sociology; Terrorism; Affect Analysis; Automap; Network Text Analysis; ORA; Ontological Coding;
Conference_Titel :
Intelligence and Security Informatics Conference (EISIC), 2012 European
Conference_Location :
Odense
Print_ISBN :
978-1-4673-2358-1
DOI :
10.1109/EISIC.2012.33
