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The objective of this report is to provide strategic guidance to tech companies, government policy makers, and solution providers in order to increase and improve investment into effective technical approaches that support platforms in tackling the terrorist use of internet services while respecting human rights. While stopping short of providing a detailed roadmap for development, this report aims to provide the overall framework for prioritization of effort given the complex nature of the terrorist threat and the challenges faced by tech companies in adapting to this threat and increased regulatory pressures from governments.

A new report from Tech Against Terrorism has found that global terrorist and violent extremist actors are running at least 198 websites on the surface web. In-depth analysis of 33 of the most prominent websites – run by actors such as Islamic State, al-Qaeda, Atomwaffen Division and the Taliban – confirms that these sites have 1.54 million monthly visitors, with the majority of visits coming from Algeria, Pakistan, United States, and the United Kingdom.

An introductory note of the Journal ‘Dynamics of Asymmetric Conflicts’

ABSTRACT- This paper initially identifies a number of critical distinctions that might help our understanding of the relationship between Internet use and terrorism. It then develops the notion of complex global microstructures as a useful conceptual aid to
understanding how people interact with the Internet in general, and to terrorism in
particular. Parallels are identified between various inappropriate, risky and dangerous
uses of the Internet which are argued to point to a degree of commonality of effect. The
paper concludes by suggesting that some forms of user interaction with the Internet
suggest the Internet may have criminogenic qualities.

Social media platforms have recently seen an increase in the occurrence of hate speech discourse which has led to calls for improved detection methods. Most of these rely on annotated data, keywords, and a classification technique. While this approach provides good coverage, it can fall short when dealing with new terms produced by online extremist communities which act as original sources of words which have alternate hate speech meanings. These code words (which can be both created and adopted words) are designed to evade automatic detection and often have benign meanings in regular discourse. As an example, “skypes”, “googles”, and “yahoos” are all instances of words which have an alternate meaning that can be used for hate speech. This overlap introduces additional challenges when relying on keywords for both the collection of data that is specific to hate speech, and downstream classification. In this work, we develop a community detection approach for finding extremist hate speech communities and collecting data from their members. We also develop a word embedding model that learns the alternate hate speech meaning of words and demonstrate the candidacy of our code words with several annotation experiments, designed to determine if it is possible to recognize a word as being used for hate speech without knowing its alternate meaning. We report an inter-annotator agreement rate of K=0.871, and K=0.676 for data drawn from our extremist community and the keyword approach respectively, supporting our claim that hate speech detection is a contextual task and does not depend on a fixed list of keywords. Our goal is to advance the domain by providing a high quality hate speech dataset in addition to learned code words that can be fed into existing classification approaches, thus improving the accuracy of automated detection.

All over the world, extreme right activists and neo-nazis are using the Internet as a tool for communication and recruitment in order to avoid national laws and police investigations. The last 10 years have seen both the diffusion of CMC environments and the rise of extreme right movements in several European countries. This study investigates the structure of the Italian extreme right network, taking into account the latest trends in the social psychology of CMC to describe the nature of ties among Italian extreme right websites.