Online Library

We cannot truly understand terrorism in the 21st century—let alone counter it effectively—unless we also understand the processes of communication that underpin it. The book challenges existing terrorism research showing that current approaches are inadequate and outdated. It exposes the fact that, although we live in an age of interconnectedness shaped by media technologies, both policy makers and security experts know very little about how to make sense of this reality. Among the widespread myths the book dispels are: the idea that new recruits into the ranks of al Qaeda are ‘radicalized’ by a ‘narrative of grievance’; that the removal of extremist websites should be a priority; that ‘we’ can ‘rewrite’ terrorists’ propaganda; that being a ‘global brand’ is a source of strength for al Qaeda. This book will be of interest to researchers and students in terrorism studies, communication and media, politics and security.

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.

Social media messages often provide insights into offline behaviors. Although hate speech proliferates rapidly across social media platforms, it is rarely recognized as a cybercrime, even when it may be linked to offline hate crimes that typically involve physical violence. This paper aims to anticipate violent acts by analyzing online hate speech (hatred, toxicity, and sentiment) and comparing it to offline hate crime. The dataset for this preregistered study included social media posts from X (previously called Twitter) and Facebook and internal police records of hate crimes reported in Spain between 2016 and 2018. After conducting preliminary data analysis to check the moderate temporal correlation, we used time series analysis to develop computational models (VAR, GLMNet, and XGBTree) to predict four time periods of these rare events on a daily and weekly basis. Forty-eight models were run to forecast two types of offline hate crimes, those against migrants and those against the LGBT community. The best model for migrant crime achieved an R² of 64%, while that for LGBT crime reached 53%. According to the best ML models, the weekly aggregations outperformed the daily aggregations, the national models outperformed those geolocated in Madrid, and those about migration were more effective than those about LGBT people. Moreover, toxic language outperformed hatred and sentiment analysis, Facebook posts were better predictors than tweets, and in most cases, speech temporally preceded crime. Although we do not make any claims about causation, we conclude that online inflammatory language could be a leading indicator for detecting potential hate crimes acts and that these models can have practical applications for preventing these crimes.

VOX-Pol Blog Post.

This workbook teaches researchers, analysts and practitioners how different sorts of terrorist and violent extremist actors utilise financial technologies and cryptocurrencies to finance their operations. The process of terrorist adoption of financial technologies is spelled out for various organisations and can assist analysts to estimate whether and when a group or terrorist actor would embrace a financial technology or cryptocurrency. The workbook also includes terms that may be used to search information holdings for terrorist adoption of cryptocurrencies or financial technologies, offering early warning of terrorist adoption.

This paper argues that companies’ efforts to deal with TVEC have been hampered at the outset by a tendency to define TVEC extremely narrowly. Still, only a tiny proportion of content that could reasonably be categorized as TVEC is included in most definitions. An outsized focus on pre-identified Islamic extremists and terrorist groups means that other types of violent extremists and terrorists (e.g., white supremacists, incels), and those unaffiliated with a group (e.g., lone-wolf actors) are overlooked. This paper also explores the idea of ethical obligations and norms as an alternative to a legally required definition.