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The unprecedented, rapid development of new communication and information technologies, such as the Internet and social media, has enabled wider dissemination of racist and xenophobic content that incites racial hatred and violence. In response, States, international and regional organizations, civil society and the private sector have undertaken a variety of legal and policy initiatives. In the present report, the Special Rapporteur examines the context, key trends and the manifestations of racism on the Internet and social media, and provides an overview of the legal and policy frameworks and the measures taken at international, regional and national levels, as well as some of the regulatory norms adopted by Internet and social network providers. He presents examples of measures taken to respond to the use of the Internet and social media to propagate racism, hatred, xenophobia and related intolerance, while highlighting the overall positive contribution of the Internet and social media as an effective tool for combating racism, discrimination, xenophobia and related intolerance.

The rise of technology has brought with it many benefits but also the potential for great dangers. In particular, Information Communication Technology (ICT) is involved in many facets of life-influencing systems, which range from power plants to airports. Terrorists are now realising the great possibilities of interfering with critical infrastructure. Remote access, reduced costs, automation, replication, speed, direct effect, varied targets and anonymity are all benefits that make attacking computers and networks in cyberspace an attractive solution. ICT could thus serve as a powerful instrument to advance political and ideological viewpoints. The ICT landscape now faces an emerging threat in the form of cyberterrorists. However, it is important not to incorrectly perceive ordinary cyber attacks as cyberterrorism. Cyberterrorism is different from cybercrime in that is has differing motives, attack goals, techniques and intended effects. The motivation for cyberterrorism largely stems from political and ideological views (religious, social activism, retributional). Cyber attacks are mainly driven by financial theft, fraud or espionage, whereas cyberterrorism aims to create publicity for a cause and leave a high impact. In this study, a Cyberterrorism Life Cycle (CLC) Model is developed in order to demonstrate the various factors that lead to the establishment and growth of cyberterrorism. The model depicts the various strategic and technical issues that are relevant to the field. Overall, this model aims to structure the dynamic interaction of the behavioural and technological factors that influence the development of cyberterrorism. Throughout the research, various factors that are influential to cyberterrorism are investigated. The research follows a systematic approach of revealing various underlying issues and thereafter compiling the holistic CLC model to depict these critical issues. Part 1 introduces cyberterrorism and provides the background to the field by discussing incidents and example groups. Initially, the concept of cyberterrorism is explored and the proposed definition tested. Part 2 looks at investigating cyberterrorism more deeply. A conceptual framework is presented that introduces the most pertinent factors in the field of cyberterrorism. Next, the traditional and innovative use of the Internet to carry out and support terrorism is explored. Then, the study addresses the determination of additional social factors using Partial Least Squares Path Modelling. In Part 3, the field of cyberterrorism is more intensely studied. Cyberterrorism is mapped to the Observe-Orient- Decide-Act (OODA) loop, which will form the basis of the CLC model. Thereafter, the most influential concepts essential to the field of cyberterrorism are applied in order to classify attacks as cyberterrorism using ontologies. Furthermore, in Part 3, countermeasures are discussed to look at ways to combat cyberterrorism. Part 4 forms the crux of the research. The CLC model is presented as a structured representation of the various influential factors relevant to cyberterrorism. Thereafter, the CLC model is simulated to show the field more dynamically. Overall, the CLC model presented in this study aims to show the interaction of the various strategic, behavioural and technical issues. The CLC model can help elucidate the reasons for attraction into extremist groups and how attacks are carried out.

This thesis describes the role that social media can play in showing how a terrorist organization can impact people’s conversation via Twitter. The two groups that this thesis focusses on are Boko Haram and Al-Shabaab. We present a new approach to how we can look into how terrorist organization can be analyzed and see what kind of impacts they may have over different cultures. The process used in researching and writing this thesis is we conducted literature search of the social media phenomenon and what social media can provide. We look to build on research by using the social media phenomenon to find what types of impacts terrorist organizations may have over cultures along with seeing how a terrorist event can have an impact over people on social media. This thesis hopes to expand on previous research on the academic uses for social media, as well as add to the expanding role that social media can be used for intelligence purposes.

This study examines differences between users and nonusers of information communication technologies (ICTs) within the pre-incident planning processes for domestic terrorist movements operating within the United States. In addition, this study is the first quantitative exploration of the prevalence, types, and purposes of ICT use within terrorist movements, specifically environmental, far-right, and Islamic extremist movements. Using“officially designated” federal terrorism investigations from the American Terrorism Study (ATS), we analyzed extracted evidence of ICT usage among individuals (n =331) engaged in the pre-incident planning processes as members of terrorist movements between 1995-2011. While we find significant differences in terrorist ICT use across terrorist movements, our findings suggest that demographics are not a strong predictor of usage. We find the highest prevalence of usage among Islamic movements. However, evidence of online radicalization or recruitment was found predominantly among environmental movements. We conclude with a discussion of these findings and their implications for counterterrorism policy.

This dissertation explores the various online radicalization and recruitment practices of groups like al-Qaeda and Hezbollah, as well as Salafi Jihadists in general. I will also outline the inadequacies of the federal government’s engagement with terrorist / Islamist ideologies and explore the ways in which early 20th century foundational Islamist theorists like Hasan al-Banna, Sayyid Qutb, and Abul ala Mawdudi have affected contemporary extremist Islamist groups, while exploring this myth of the ideal caliphate which persists in the ideology of contemporary extremist Islamist groups. In a larger sense, I am arguing that exploitation of the internet (particularly social networking platforms) in the radicalization of new communities of followers is much more dangerous than cyberterrorism (as in attacks on cyber networks within the government and the private sector), which is what is most often considered to be the primary threat that terrorists pose with their presence on the internet. Online radicalization should, I argue, be given more consideration when forming public policy because of the immediate danger that it poses, especially given the rise of microterrorism. Similarly, through the case studies that I am examining, I am bringing the humanities into the discussion of extremist (religious) rhetorics, an area of discourse that those scholars have largely ignored.

The growing use of the Internet as a major means of communication has led to the formation of cyber-communities, which have become increasingly appealing to violent extremists due to the unregulated nature of Internet communication. Online communities enable violent extremists to increase recruitment by allowing them to build personal relationships with a worldwide audience capable of accessing uncensored content. This research presents methods for identifying and forecasting the recruitment activities of violent groups within extremist social media websites. Specifically, these methods employ techniques within supervised learning and natural language processing for automatically: (1) identifying forum posts intended to recruit new violent extremist members, and (2) forecasting recruitment efforts by tracking changes in an online community’s discussion over time. We used data from the western jihadist website Ansar AlJihad Network, which was compiled by the University of Arizona’s Dark Web Project. Multiple judges manually annotated a sample of these data, marking 192 randomly sampled posts as recruiting (Yes) or non-recruiting (No). We observed significant agreement between the judges’ labels; the confidence interval of Cohen’s kappa was (0.5,0.9) at p=0.01. We used naive Bayes models, logistic regression, classification trees, boosting, and support vector machines (SVM) to classify the forum posts in a 10-fold cross-validation experimental setup. Evaluation with receiver operating characteristic (ROC) curves show that our SVM classifier achieves 89% area under the curve (AUC), a significant improvement over the 63% AUC performance achieved by our simplest naive Bayes model (Tukey’s test at p=0.05). The forecasting task uses a time series regression analysis to model the daily count of extremist recruitment posts. Evaluation with mean absolute scaled error (MASE) shows that employing latent topics as predictors can reduce forecast error compared to a naive (random-walk) model and the baseline time series model. To our knowledge, these are the first results reported on these tasks, and our analysis indicates that automatic detection and forecasting of online terrorist recruitment are feasible tasks. This research could ultimately help identify the impact of violent organizations, like terrorist groups, within the social network of an online community. There are also a number of important areas of future work including classifying non-English posts and measuring how recruitment posts and current events change membership numbers over time.