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This book is a timely and significant examination of the role of counter-messaging via social media as a potential means of preventing or countering radicalization to violent extremism. In recent years, extremist groups have developed increasingly sophisticated online communication strategies to spread their propaganda and promote their cause, enabling messages to be spread more rapidly and effectively. Countermessaging has been promoted as one of the most important measures to neutralize online radicalizing influences and is intended to undermine the appeal of messages disseminated by violent extremist groups. While many such initiatives have been launched by Western governments, civil society actors, and private companies, there are many questions regarding their efficacy. Focusing predominantly on efforts countering Salafi-Jihadi extremism, this book examines how feasible it is to prevent or counter radicalization and violent extremism with counter-messaging efforts. It investigates important principles to consider when devising such a program. The authors provide both a comprehensive theoretical overview and a review of the available literature, as well as policy recommendations for governments and the role they can play in counter-narrative efforts. As this is the first book to critically examine the possibilities and pitfalls of using counter-messaging to prevent radicalization or stimulate de-radicalization, it is essential reading for policymakers and professionals dealing with this issue, as well as researchers in the field.

National governments now recognize online hate speech as a pernicious social problem. In the wake of political votes and terror attacks, hate incidents online and offline are known to peak in tandem. This article examines whether an association exists between both forms of hate, independent of ‘trigger’ events. Using Computational Criminology that draws on data science methods, we link police crime, census and Twitter data to establish a temporal and spatial association between online hate speech that targets race and religion, and offline racially and religiously aggravated crimes in London over an eight-month period. The findings renew our understanding of hate crime as a process, rather than as a discrete event, for the digital age.

Social media companies have long struggled with what to do about extremist content on their platforms. While most companies include provisions about “extremist” content in their community standards, until recently, such content was often vaguely defined, providing policymakers and content moderators a wide berth in determining what to remove, and what to allow. Unfortunately, companies have responded with overbroad and vague policies and practices that have led to mistakes at scale that are decimating human rights content.

As white nationalists have come to increasing prominence in recent decades, their presence presents a significant challenge to democratic societies. Motivated by a sense of racial imperilment, and opposed, sometimes violently, to core democratic ideals, white nationalists cannot be meaningfully incorporated into the political life of societies which promote inclusiveness and pluralism without threatening those values. Yet democratic theory, which seeks to offer ideal visions of what democratic societies could look like, provides no means for contending with the active presence of white nationalism in contemporary democratic societies. This article uses the concept of voice to explore these shortcomings in several theories of democracy, including deliberative, agonistic, and empowerment theories. In doing so, it draws on a wealth of white nationalist media, both physical and digital, to demonstrate how attitudes regarding racial imperilment, often articulated in terms of a ‘white genocide’, foreclose on any possibility of incorporating white nationalist voices into democratic societies. Moreover, an examination of white nationalists’ ongoing project to shift the boundaries of what is permissible in popular discourse, a process which is amplified by digital media technologies, suggests that they are nevertheless a pressing problem for democratic societies which should be addressed. In doing so, it is important to move beyond the focus on voice which underlays much democratic theory, exploring instead the experiences of social life to which white nationalist voices speak so that we might gain a better understanding of what motivates white nationalist voice and, potentially, how it might be addressed.

This paper provides recommendations for what government and social media companies can do in the context of Jammu and Kashmir’s developing online theatre of both potential radicalisation and recruitment

Identification and classification of extremist-related tweets is a hot issue. Extremist gangs have been involved in using social media sites like Facebook and Twitter for propagating their ideology and recruitment of individuals. This work aims at proposing a terrorism-related content analysis framework with the focus on classifying tweets into extremist and non-extremist classes. Based on user-generated social media posts on Twitter, we develop a tweet classifcation system using deep learning-based sentiment analysis techniques to classify the tweets as extremist or non-extremist. The experimental results are encouraging and provide a gateway for future researchers.