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Combining social network analysis and sentiment analysis to explore the potential for online radicalisation

Bermingham, Adam and Conway, Maura and McInerney, Lisa and O'Hare, Neil and Smeaton, Alan F. (2009) Combining social network analysis and sentiment analysis to explore the potential for online radicalisation. In: ASONAM 2009 - Advances in Social Networks Analysis and Mining, 20-22 July, 2009, Athens, Greece.

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The increased online presence of jihadists has raised the possibility of individuals being radicalised via the Internet. To date, the study of violent radicalisation has focused on dedicated jihadist websites and forums. This may not be the ideal starting point for such research, as participants in these venues may be described as “already madeup minds”. Crawling a global social networking platform, such as YouTube, on the other hand, has the potential to unearth content and interaction aimed at radicalisation of those with little or no apparent prior interest in violent jihadism. This research explores whether such an approach is indeed fruitful. We collected a large dataset from a group within YouTube that we identified as potentially having a radicalising agenda. We analysed this data using social network analysis and sentiment analysis tools, examining the topics discussed and what the sentiment polarity (positive or negative) is towards these topics. In particular, we focus on gender differences in this group of users, suggesting most extreme and less tolerant views among female users.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:sentiment analysis; social network analysis;
Subjects:Computer Science > Computational linguistics
Social Sciences > Terrorism
Computer Science > Information retrieval
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Humanities and Social Science > School of Law and Government
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
Publisher:Institute of Electrical and Electronics Engineers
Official URL:
Copyright Information:©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Funders:Enterprise Ireland, EI IP/2008/0549, Science Foundation Ireland, SFI 07/CE/I1147
ID Code:4554
Deposited On:06 May 2009 15:28 by Adam Bermingham. Last Modified 12 Jan 2017 12:27

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