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This paper provides recommendations for what government and social media companies can do in the context of Jammu and Kashmir’s developing online theatre of both potential radicalisation and recruitment

Since the outbreak of the Syrian civil war in 2011 close to 30 000 foreign recruits from more than 100countries have migrated to the area of Iraq and Syria in support of the terrorist organization this thesis will refer to as ISIS. Among those traveling is a historically unprecedented number of women. Why women are drawn to violent Islamic extremist groups is rather unexplored. Through a qualitative text analysis of official ISIS-propaganda, this thesis investigates what promises the organization makes to women, examining pull-factors derived from social media studies of female migration to ISIS-held territories. The thesis concludes that women are promised the possibility to fulfill their religious duty, become important state builders, experience deep and meaningful belonging and sisterhood, to live an exciting adventure and find true romance, as well as being increasingly influential is also promised. Official propaganda does not make explicit promises to women of exerting violence. A secondary purpose of the thesis is to assess the potential risk that ISIS-affiliated women returning to the West, pose to society. This thesis further concludes that women who gain limited knowledge of handling weapons and explosives in ISIS-territory are not probable participants in armed terrorist attacks directed towards the West. However, through increased social networks acquired while in Syria or Iraq, women may play an important supporting role in the process of planning, crowdfunding and executing attacks. Based on these findings the thesis provides some gender-specific policy proposals intended to counter the recruitment of women to ISIS.

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.

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.

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.

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