  Online propaganda is central to the recruitment strategies of extremist
groups and in recent years these efforts have increasingly extended to women.
To investigate ISIS' approach to targeting women in their online propaganda and
uncover implications for counterterrorism, we rely on text mining and natural
language processing (NLP). Specifically, we extract articles published in Dabiq
and Rumiyah (ISIS's online English language publications) to identify prominent
topics. To identify similarities or differences between these texts and those
produced by non-violent religious groups, we extend the analysis to articles
from a Catholic forum dedicated to women. We also perform an emotional analysis
of both of these resources to better understand the emotional components of
propaganda. We rely on Depechemood (a lexical-base emotion analysis method) to
detect emotions most likely to be evoked in readers of these materials. The
findings indicate that the emotional appeal of ISIS and Catholic materials are
similar
