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This article seeks to investigate the way in which social media can affect terrorist events. Using the 2014 Sydney siege as its primary focus, it will argue that the public’s social media activity, particularly the capacity to engage in ‘reporting’ of live events as they occur, can shift the tactical advantage from counterterrorism officials to the perpetrator. Situational awareness theory will be used to analyse how the public’s Twitter activity during the event had the capacity to enhance the perpetrator’s decision-making and therefore his overall capacity to execute the attack. The article will analyse the Martin Place Siege Joint Commonwealth—New South Wales Review, particularly, Chapter 10, Public Communication. The Review had shortcomings in terms of its failure to fully analyse the role of social media during the Sydney siege and the way in which it impacted upon events. The article therefore seeks to highlight the need for law enforcement and government agencies to take into account developments within social media, which have added a new dimension to terrorist activity. Failure to take account of these developments will diminish the capacity of law enforcement and government to respond effectively to similar events in the future.

The main purpose of this policy brief is to highlight the risks of radicalization by utilizing statistical analysis. The main question interrogated here is to determine the relation between the level of social reaction and ISIS’s attacks. These reactions are measured through Google Trends of news, web searches, and video ratings. Methodologically, Turkey, France, Belgium, the United Kingdom and Germany are picked as the sample countries. In order to derive consistent data from Google’s database, the keywords “Islamic State of Iraq and the Levant,” and its some acronyms such as ISIS, ISIL, Islamic State, and DAESH are utilized.

This analysis revealed that Internet media might function as a recognition tool for terrorist organizations considering the fact that following ISIS’s attacks, people of both the target country and other countries progressively search ISIS on Google. Thus, one way or another, ISIS gains reputation and takes the opportunity for radicalization. Furthermore, the level of these searches differs among the aforementioned countries due to specific reasons, which are elaborated in this policy brief.

Advances in digital technologies have provided ample positive impacts to modern society; however, in addition to such benefits, these innovations have inadvertently created a new venue for criminal activity to generate.

Combating Violent Extremism and Radicalization in the Digital Era is an essential reference for the latest research on the utilization of online tools by terrorist organizations to communicate with and recruit potential extremists and examines effective countermeasures employed by law enforcement agencies to defend against such threats. Focusing on perspectives from the social and behavioral sciences, this book is a critical source for researchers, analysts, intelligence officers, and policy makers interested in preventive methods for online terrorist activities.

We present a machine learning framework that leverages a mixture of metadata, network, and temporal features to detect extremist users, and predict content adopters and interaction reciprocity in social media. We exploit a unique dataset containing millions of tweets generated by more than 25 thousand users who have been manually identified, reported, and suspended by Twitter due to their involvement with extremist campaigns. We also leverage millions of tweets generated by a random sample of 25 thousand regular users who were exposed to, or consumed, extremist content. We carry out three forecasting tasks, (i) to detect extremist users, (ii) to estimate whether regular users will adopt extremist content, and finally (iii) to predict whether users will reciprocate contacts initiated by extremists. All forecasting tasks are set up in two scenarios: a post hoc (time independent) prediction task on aggregated data, and a simulated real-time prediction task. The performance of our framework is extremely promising, yielding in the different forecasting scenarios up to 93% AUC for extremist user detection, up to 80% AUC for content adoption prediction, and finally up to 72% AUC for interaction reciprocity forecasting. We conclude by providing a thorough feature analysis that helps determine which are the emerging signals that provide predictive power in different scenarios.

Following the recent terrorist attacks in Paris and Tunisia in 2015, and in Woolwich, south-east London where British Army soldier Drummer Lee Rigby was murdered in 2013, there has seen a significant increase in anti-Muslim attacks. These incidents have occurred offline where mosques have been vandalized, Muslim women have had their hijab (headscarf) or niqab (face veil) pulled off, Muslim men have been attacked, and racist graffiti has been scrawled against Muslim properties. Concurrently, there has been a spike in anti-Muslim hostility online, where Muslims have been targeted by campaigns of cyber bullying, cyber harassment, cyber incitement, and threats of offline violence. Against this background, we examine the nature and impacts of online and offline anti-Muslim hate crime. We draw on our different experiences of conducting research on anti-Muslim hate crime, using two independent research projects in order to consider the affinity between online and offline anti-Muslim hate crime. We argue that, in reality, online/offline boundaries may be more blurred than the terms imply. For victims, it is often difficult to isolate the online threats from the intimidation, violence, and abuse that they suffer offline. Moreover, victims often live in fear because of the possibility of online threats materializing in the “real world.” We conclude that there is a continuity of anti-Muslim hostility in both the virtual and the physical world, especially in the globalized world.

Discourse of terrorism and social media are often discussed the last few years, discussions related to the issue of terrorism is often associated with social media is considered to be one of the tools used to spread the ideology of terrorist networks even recruiting members. Terrorist networks utilizing social media to conduct ideological campaign covertly or overtly and massive. The definition of terrorism employed here is the selective use of fear, subjugation, and Intimidation to disrupt the normal operations of a society. All social system seek ethical and legal norms that satisfy the conditions for continued human survival without giving offence to the major ideological premises on which these respective societies have come to rest. Consequently, while different social systems react differently to terror in accordance with their vision of self interest, no surviving society can be indifferent to the problems raised by terrorism. Terrorist activities have been aiming for and take advantage of ideology and religion for the world community in favor of the claim that their struggle. Genealogy religious radicalism emerged for several reasons. As the pressure of the political regime in power and the failures of the secular ideology of the regime, so the presence of radicalism considered as an alternative ideological only in the fight against oppression and adversity caused by the secular regime so that a group of radicalism assumed that it had no other option but to commit acts of terrorism to counter secular regime. The polarization of political behavior and the fragmentation of political belief are well illustrated in the current rhetoric concerning. Attitudes toward the uses of terror and the functions of terrorist range from a gratuitous belief in terror as the only possible means to bring about social changes to a view of terror and terrorist. The range of views extends from terrorists as the only authentic heroes in notably unheroic age to their demotion as petty criminals who coat their venal act with an ideological gloss.