752 research outputs found

    Automatic Detection of Online Jihadist Hate Speech

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    We have developed a system that automatically detects online jihadist hate speech with over 80% accuracy, by using techniques from Natural Language Processing and Machine Learning. The system is trained on a corpus of 45,000 subversive Twitter messages collected from October 2014 to December 2016. We present a qualitative and quantitative analysis of the jihadist rhetoric in the corpus, examine the network of Twitter users, outline the technical procedure used to train the system, and discuss examples of use.Comment: 31 page

    The future of jihad: what next for ISIL and al-Qaeda?

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    This report examines what the rise of ISIL means for al-Qaeda and how will it react. Overview ISIL is a real threat and must be targeted, but al-Qaeda shouldn’t be forgotten. Indeed, al-Qaeda should remain a key focus for international counterterrorism efforts. It’s a resilient and resolute terrorist organisation, but it’s also weaker than it’s been for many years. We should use this brief opportunity to dismantle the organisation completely. The report examines what the rise of ISIL means for al-Qaeda and how will it react. How will al-Qaeda seek to regain the oxygen of publicity that’s central to terrorist organisations if they’re to recruit, grow and, ultimately, challenge their enemies? Does the rise of ISIL signal the end of al-Qaeda or might al-Qaeda merge with ISIL, confront it head on or take some other course of action? The authors explore four alternative futures for al-Qaeda and ISIL and conclude that a worrying scenario of ‘one-upmanship’ is likely to take place between the two organisations in which al-Qaeda pursues a campaign of international attacks in order to regain the limelight

    Multilingual Cross-domain Perspectives on Online Hate Speech

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    In this report, we present a study of eight corpora of online hate speech, by demonstrating the NLP techniques that we used to collect and analyze the jihadist, extremist, racist, and sexist content. Analysis of the multilingual corpora shows that the different contexts share certain characteristics in their hateful rhetoric. To expose the main features, we have focused on text classification, text profiling, keyword and collocation extraction, along with manual annotation and qualitative study.Comment: 24 page

    Tuning in to Terrorist Signals

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    Interactive Search and Exploration in Online Discussion Forums Using Multimodal Embeddings

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    In this paper we present a novel interactive multimodal learning system, which facilitates search and exploration in large networks of social multimedia users. It allows the analyst to identify and select users of interest, and to find similar users in an interactive learning setting. Our approach is based on novel multimodal representations of users, words and concepts, which we simultaneously learn by deploying a general-purpose neural embedding model. We show these representations to be useful not only for categorizing users, but also for automatically generating user and community profiles. Inspired by traditional summarization approaches, we create the profiles by selecting diverse and representative content from all available modalities, i.e. the text, image and user modality. The usefulness of the approach is evaluated using artificial actors, which simulate user behavior in a relevance feedback scenario. Multiple experiments were conducted in order to evaluate the quality of our multimodal representations, to compare different embedding strategies, and to determine the importance of different modalities. We demonstrate the capabilities of the proposed approach on two different multimedia collections originating from the violent online extremism forum Stormfront and the microblogging platform Twitter, which are particularly interesting due to the high semantic level of the discussions they feature

    The Empowerment of Hate

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    CAIR provides legal and advocacy services to people who have been targeted by bias.The organization employs 35 staff attorneys and has a presence in 22 states. These attorneys are tasked to assist every client in obtaining a just and fair resolution to their case, free of charge.While CAIR's focus is to win justice for each client, processing these cases provides the organization with a wealth of data. During the 2014-2016 period, CAIR staff processed a total of 11,427 incidents of potential bias.This report assembles this data to offer a larger and more comprehensive reflection of the civil rights implications of Islamophobic bias in the United States.CAIR is committed to protecting the civil rights of all Americans, regardless of faith. We do so with gratitude for the protections already established through the long, and often ugly, struggles of other targeted communities. As we work to help our clients, our broader goal is to set legal precedent, pass laws, and shape a social environment in which every American enjoys the basic right to be free from unequal treatment

    Anti-Muslim Prejudice When Exposed to News About Terrorism: The Roles of Negative Affect and Psychological Inflexibility

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    In the United States, some proposed law enforcement policies intended to prevent terrorism may violate the civil rights of American minorities. These policies include random searches by law enforcement, banning Muslims from entering the country, and refusing to grant asylum to Syrian refugees. Additionally, the rise of ISIS has heightened the salience of terrorism across the world and in the United States. The goal of the high-production videos produced by ISIS may be partially intended to create inter-religious conflict in the West. My study examines the effect of news about ISIS propaganda videos on Americans’ opinions about policies that limit the civil rights of Muslims. I also examine one possible moderator of reactions to ISIS propaganda: psychological inflexibility. This psychological factor, developed from Acceptance and Commitment Therapy, is a kind of behavioral reactivity to distressing events. I obtained two samples for this experiment: one student sample from a Southeastern university, and a national sample of adults. Results showed that viewing ISIS propaganda raised negative affect in participants in both samples, did not increase support for anti-Muslim security policies, and psychological inflexibility did not play a role in this relationship. However, negative affect did play a role in predicting support for anti-Muslim policies. These results suggest support for anti-Muslim security policies may be more influenced by negative affect than viewing any particular news story in the media. Future research may determine whether other measures of emotional reactivity may be predictive of reactions to terrorism portrayed in the media

    The Islamic State as a Unique Social Movement: Exploiting Social Media in an Era of Religious Revival

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    The Islamic State (IS) is a reminder that religious terrorism in the Middle East remains a threat. However, this organization has been unique in its ability to emerge so aggressively, recruit large numbers of fighters from abroad, and establish a semi-functioning political state. In this thesis, I will explore this unprecedented phenomenon, focusing especially on the ways that trends of modernization, globalization, and sacralization have shaped the movement. As part of this work, I will specifically consider IS’ use of social media to recruit members and disseminate information and how this new technology has operated in tandem with the aforementioned trends to frame IS as a unique terrorist organization
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