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Chapter 25
DOI: 10.4018/978-1-5225-7912-0.ch025
ABSTRACT
Social media analytics are increasingly incorporated into security practices due to the rise in online
criminal and extremist activities. Social media research, however, has not become established in either
intelligence practice or academic-based approach. This chapter aims to fll the gap by discussing col-
lection methods and analytical tools for the study of social media data for intelligence and countering
violent extremism: social network analysis, sentiment analysis, multilingual analysis, geo-coding, auto-
mated entity extraction, semantic search, and multimedia analysis. While technological capabilities of
social media analytics are improving rapidly, it needs to be complemented with nuanced perspectives
from the social sciences. Understanding of the epistemology of social media and dynamics between the
online-ofine interaction as well as data access will put practitioners in a better position to reap the
benefts of the social media. Attention should be given to train practitioners in relevant technological
skills while also incorporating social science knowledge.
INTRODUCTION
Traditional approaches to tackle violent extremism face limitations. One key area in which more effective
countering violent extremism initiatives is needed is in the cyberspace. Online activities are increasingly
impacting real world events as movements are organised, and communications conducted via the cyber-
space. The cyberspace therefore makes up a crucial aspect of national security investigation. By 1999
most jihadist organisations had established an online presence, although the impact of radical websites
and social media on radicalising individuals are debatable (Bartlett & Miller, 2013). Recent events had
shown that terrorist movements around the world are increasingly aided by social media. For instance,
the Islamic State in Iraq and Syria (ISIS) has proved to be extremely adept at utilising social media to
Social Media Analytics for
Intelligence and Countering
Violent Extremism
Jennifer Yang Hui
Nanyang Technological University, Singapore