Big Data

Hate speech is a growing concern online, with minorities and vulnerable groups increasingly targeted with extreme denigration and hostility. Why users express hate speech on social media is unclear. This study explores how this hate speech develops on both mainstream and fringe social media platforms; Facebook and Gab. We investigate whether users seek out hostile ...

In this paper, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source. We built statistical models to ...

A new revolution has begun in counterterrorism—the Artificial Intelligence (AI) revolution. The AI revolution has had a significant impact on many areas of security and intelligence. The use of AI and big data in general, and in the field of intelligence and counterterrorism in particular, has led to intense debates between supporters of the continuation ...

Social networks are being used by terrorist organizations to distribute messages with the intention of influencing people and recruiting new members. The research presented in this paper focuses on the analysis of Twitter messages to detect the leaders orchestrating terrorist networks and their followers. A big data architecture is proposed to analyze messages in real ...

In this article, we propose a general model of data collection from social media, in the context of terrorism research, focusing on recent studies of jihadists. By analyzing Twitter data collection methods in the existing research, we show that the methods used are prone to sampling biases, and that the sampled datasets are not sufficiently ...

Hateful speech in Online Social Networks (OSNs) is a key challenge for companies and governments, as it impacts users and advertisers, and as several countries have strict legislation against the practice. This has motivated work on detecting and characterizing the phenomenon in tweets, social media posts and comments. However, these approaches face several shortcomings due ...

Anno Bunnik explores the ramifications of Big Data for countering terrorism, extremism, and radicalisation. With the recent rise of jihadists and other extremists groups in the Middle East and Europe, how do state agencies respond through the use of Big Data? This chapter critically engages with questions such as the extent to which Big Data ...

This article presents a mixed methods approach for analysing text and image relations in violent extremist discourse. The approach involves integrating multimodal discourse analysis with data mining and information visualisation, resulting in theoretically informed empirical techniques for automated analysis of text and image relations in large datasets. The approach is illustrated by a study which ...

The Islamic State, also known as ISIS, has distinguished itself as a pioneer in the use of social media for recruitment. But, while ISIS continues to be one of the most influential terrorist groups in the material world, other extremists are closing the gap in the virtual realm. On Twitter, ISIS’s preferred social platform, American ...

The online domain potentially provides research with a vast body of data. The big quest within contemporary research is to make sense of all this data. A possibility to handle such data is by combining methods from the fields of new media and linguistics. Several studies have sought to understand how radicalism online comes to ...