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Does social media lead vulnerable individuals to resort to violence? Many people believe it
does. And they respond with online censorship, surveillance and counter-speech. But what
do we really know about the Internet as a cause, and what do we know about the impact
of these reactions? All over the world, governments and Internet companies are making
decisions on the basis of assumptions about the causes and remedies to violent attacks. The
challenge is to have analysis and responses firmly grounded. The need is for a policy that is
constructed on the basis of facts and evidence, and not founded on hunches – or driven by
panic and fearmongering.
It is in this context that UNESCO has commissioned the study titled Youth and Violent
Extremism on Social Media – Mapping the Research. This work provides a global mapping
of research (mainly during 2012-16) about the assumed roles played by social media in
violent radicalization processes, especially when they affect youth and women. The research
responds to the belief that the Internet at large is an active vector for violent radicalization
that facilitates the proliferation of violent extremist ideologies. Indeed, much research
shows that protagonists are indeed heavily spread throughout the Internet. There is a
growing body of knowledge about how terrorists use cyberspace. Less clear, however, is
the impact of this use, and even more opaque is the extent to which counter measures are
helping to promote peaceful alternatives. While Internet may play a facilitating role, it is not
established that there is a causative link between it and radicalization towards extremism,
violent radicalization, or the commission of actual acts of extremist violence.

The purpose of this paper is to discuss the design, application and findings of a case study in which the application of a machine learning algorithm is utilised to identify the grievances in Twitter in an Arabian context. To understand the characteristics of the Twitter users who expressed the identified grievances, data mining techniques and social network analysis were utilised. The study extracted a total of 23,363 tweets and these were stored as a data set. The machine learning algorithm applied to this data set was followed by utilising a data mining process to explore the characteristics of the Twitter feed users. The network of the users was mapped and the individual level of interactivity and network density were calculated. Findings The machine learning algorithm revealed 12 themes all of which were underpinned by the coalition of Arab countries blockade of Qatar. The data mining analysis revealed that the tweets could be clustered in three clusters, the main cluster included users with a large number of followers and friends but who did not mention other users in their tweets. The social network analysis revealed that whilst a large proportion of users engaged in direct messages with others, the network ties between them were not registered as strong. Borum (2011) notes that invoking grievances is the first step in the radicalisation process. It is hoped that by understanding these grievances, the study will shed light on what radical groups could invoke to win the sympathy of aggrieved people. In combination, the machine learning algorithm offered insights into the grievances expressed within the tweets in an Arabian context. The data mining and the social network analyses revealed the characteristics of the Twitter users highlighting identifying and managing early intervention of radicalisation.

What characterises social media radicals? And why some people become attracted to radicalisation? To explore answers to these questions, a number of tweets posted by a group of suspected radicals tweeting in Arabic were analysed using social network analysis and machine learning. The study revealed that these suspected radicals’ networks showed significant interaction with others; but this interactivity is only significant quantitatively as the interaction is not reciprocated. With regards to why these suspected radicals became attracted to radicalisation, Topic Modelling revealed these suspected radicals’ tweets underpinned a perceived injustice that they believed the Secret Police and the Government inflicted upon them. Overall, the study has shown that data science tools have the potential to inform our understanding of online radicalisation. It is hoped this exploratory study will be the basis for a future study in which the research questions will be answered using a larger sample.

The anti-terror public media campaigns started in Iraq around 2004 and was called ‘Terror has no Religion’ in order to combat the threats of sectarianism and Al-Qaeda. After the withdrawal of the US forces from the country in late 2010, the campaign stopped, but a new and similar one emerged that is called ‘Say no to Terror’ whose advertisements mostly targeted the Saudi public. Several Pan-Arab regional channels like Al-Arabiya and Middle East Broadcasting Center (MBC) were part of airing its advertisements. This study focuses on the ‘Terror has no Religion’ and ‘Say no to Terror’ campaigns by critically examining their websites and videos to understand the nature of messages sent to the public. Further, the study examines the effectiveness of the two campaigns with special emphasis on ‘Say no to Terror’ by analyzing comments posted on YouTube and discussing the counter campaign. Over 350 videos were found containing counter arguments to ‘Say no to Terror’ campaign, and about 60% of YouTube commentators viewed the campaign negatively, expressing suspicion about its real intentions. The paper concludes that the success of such public service advertisements is doubtful due to the format of the message as well as cultural and political reasons that are linked to the region.

This book offers empirical insight into the way Muslims reacted online towards various controversial issues related to Islam. The book examines four cases studies: The Muhammed’s cartoons, the burning of the Quran controversies, Fitna and the Innocence of Muslims’ films. The issues of online religion, social movements and extremism are discussed, as many of the cases in question created both uproar and unity among many YouTubers. These case studies – in some instances – led to the expression of extremist views by some users, and the volume argues that they helped contribute to the growth of extremism due to the utilization of these events by some terrorist groups in order to recruit new members. In the concluding chapter, social network and sentiment analyses are presented in order to investigate all the collected comments and videos, while a critical discussion of freedom of expression and hate speech is offered, with special regards to the growing online influence of far right groups and their role in on-going YouTube debates.

This study discusses different media strategies followed by the Islamic State in Iraq and Syria (ISIS). In particular, the study attempts to understand the way ISIS’s video game that is called “Salil al-Sawarem” (The Clanging of the Swords) has been received by the online Arab public. The article argues that the goal behind making and releasing the video game was to gain publicity and attract attention to the group, and the general target was young people. The main technique used by ISIS is what I call “troll, flame, and engage.” The results indicate that the majority of comments are against ISIS and its game, though most of the top ten videos are favorable towards the group. The sectarian dimension between Sunnis and Shiites is highly emphasized in the online exchanges, and YouTube remains an active social networking site that is used by ISIS followers and sympathizers to promote the group and recruit others.