Journal Article |
Exploring The Capabilities Of Prevent In Addressing Radicalisation In Cyberspace Within Higher Education
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The Counter Terrorism and Security Act (2015) introduced a binding duty on public sector bodies in the United Kingdom (UK), including education, to have ‘due regard to the need to prevent people from being drawn into terrorism’. The Prevent duty has become widely controversial in the Higher Education (HE) sector with questions as to whether it contravenes academic freedom and freedom of speech.
This research seeks to identify how Prevent may be applied to cyberspace to reduce risk of students being radicalised online at universities. Through semi-structured interviews (N= 16) with individuals working in Prevent and HE, attention is given to the capability of monitoring and filtering website content, which must be considered by universities as part of Prevent compliance. In addition, non-technical methods of reducing radicalisation in cyberspace are explored. Consideration is given to building students’ resilience to challenging information they see online through developing counter-narrative content for social media platforms. With students developing counter-narrative content themselves, specifically addressing vulnerability drivers to radicalisation, universities can enhance compliance with Prevent and create counter extremist content which can be used in cyberspace both in and outside of HE.
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2019 |
Sandford, L. |
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Journal Article |
An Italian Twitter Corpus of Hate Speech against Immigrants
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The paper describes a recently-created Twitter corpus of about 6,000 tweets, annotated for hate speech against immigrants, and developed to be a reference dataset for an automatic system of hate speech monitoring. The annotation scheme was therefore specifically designed to account for the multiplicity of factors that can contribute to the definition of a hate speech notion, and to offer a broader tagset capable of better representing all those factors, which may increase, or rather mitigate, the impact of the message. This resulted in a scheme that includes, besides hate speech, the following categories: aggressiveness, offensiveness, irony, stereotype, and (on an experimental basis) intensity. The paper hereby presented namely focuses on how this annotation scheme was designed and applied to the corpus. In particular, also comparing the annotation produced by CrowdFlower contributors and by expert annotators, we make some remarks about the value of the novel resource as gold standard, which stems from a preliminary qualitative analysis of the annotated data and on future corpus development.
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2018 |
Sanguinetti, M., Poletto, F., Bosco, C., Patti, V. and Stranisci, M. |
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Journal |
The Internet and Its Potentials for Networking and Identity Seeking: A Study on ISIS
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With the accelerating process of globalization and the development of its technological dimension, more and more opportunities and channels are available to the terrorist groups in the world to mobilize resources and advocates. “Islamic State of Iraq and Sham” (ISIS), as the most modern terrorist-excommunicative group (Takfiry), has been able to utilize the Internet and social networks highly adeptly. While ignoring the function of long-term structural and essential factors underlying the formation of ISIS, and also combining the networked society theory and triple forms of identities proposed by Manuel Castells with theoretical discussions on identity making, networking, and mobilization of media, the current article seeks to analyze the role of cyberspace and social networks as accelerating and opportunistic agents in mobilizing resources and disseminating ISIS. Using an explanatory analytical research method, the current article mainly intends to find a reply to the question: What has been the role of online social networks in connection with ISIS as an excommunicative and terrorist group? According to the research hypothesis, due to ISIS’s subtle, prevocational-emotional and targeted utilization of online social networks, the networks have played the role of an accelerator and opportunity maker in some areas including network building, guidance of public opinion, identity making, and the promotion of project identity of this terrorist group. The general conclusion obtained from the article is that ISIS, as the most terrifying and the most modern group equipped with cyber media, has been able to attract many forces out of fanatical religious groups, unemployed people, criminals, etc., worldwide. Additionally, with the recruitment of fanatics, ISIS has been able to accomplish identity making and network building. As a result, regional security and even security in Western countries is also highly endangered.
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2017 |
Sardarnia, K. |
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Journal Article |
The Role of Translation in ISIS Propaganda: International Online Radicalization Methods and Its Effect on Extremism in Indonesia
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This research aims to compile data and information that will contribute to understanding the online radicalization phenomenon through translation. There are many studies on using the internet and propaganda in a terrorism context. However, only a handful studied the correlation between translation and terrorism propaganda, especially in Indonesia. There was little discussion on the role of translation in bridging communication between different nations, cultures, and languages and using it to propagate radical/propaganda narratives worldwide and amplify those messages to its target audience. The research method is descriptive qualitative using primary and secondary data; the sample is taken from the book of Nadharat Fi Al Ijma’ Al Qath’i and previous findings and news. This research revealed at least ten roles of translation in the online radicalization phenomenon; among others, translation in the target language can be used to identify the target audience of the propagandist, and many terrorist sympathizers were willing to volunteer to translate the propaganda. However, although the translation is used to leverage the spread of propaganda, it can also assist law enforcement officers in combating terrorist/propaganda narratives. Indonesian law enforcement officers may use translation to counter-terrorism as Indonesia has hundreds of vernacular languages that can be used to ‘encrypt’ and disseminate their extremist narratives.
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2022 |
Sari, H.P. and Syauqillah, M. |
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Book |
Social Networks as the New Frontier of Terrorism
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Terrorism. Why does this word grab our attention so? Propaganda machines have adopted modern technology as a means to always have their content available. Regardless of the hour or time zone, information is being shared by somebody, somewhere. Social media is a game changer influencing the way in which terror groups are changing their tactics and also how their acts of terror are perceived by the members of the public they intend to influence.
This book explores how social media adoption by terrorists interacts with privacy law, freedom of expression, data protection and surveillance legislation through an exploration of the fascinating primary resources themselves, covering everything from the Snowden Leaks, the rise of ISIS to Charlie Hebdo. The book also covers lesser worn paths such as the travel guide that proudly boasts that you can get Bounty and Twix bars mid-conflict, and the best local hair salons for jihadi brides. These vignettes, amongst the many others explored in this volume bring to life the legal, policy and ethical debates considered in this volume, representing an important part in the development of understanding terrorist narratives on social media, by framing the legislative debate.
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2017 |
Scaife, L. |
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MA Thesis |
Automatic Detection And Forecasting Of Violent Extremist Cyber-Recruitment
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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.
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2014 |
Scanlon, J. |
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