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Social Media Analytics for Intelligence and Countering Violent Extremism
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Author(s): Jennifer Yang Hui (Nanyang Technological University, Singapore)
Copyright: 2016
Pages: 21
Source title:
Combating Violent Extremism and Radicalization in the Digital Era
Source Author(s)/Editor(s): Majeed Khader (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore), Loo Seng Neo (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore), Gabriel Ong (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore), Eunice Tan Mingyi (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore)and Jeffery Chin (Home Team Behavioural Sciences Centre, Ministry of Home Affairs, Singapore)
DOI: 10.4018/978-1-5225-0156-5.ch016
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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 fill the gap by discussing collection 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, automated 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-offline interaction as well as data access will put practitioners in a better position to reap the benefits of the social media. Attention should be given to train practitioners in relevant technological skills while also incorporating social science knowledge.
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