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.
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