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This volume reports on the range of papers presented at the Annual Countering Violent Extremism (CVE) Research Conference 2014 from 7-8 December 2014 in Abu Dhabi, United Arab Emirates. The Conference was organized and hosted by Hedayah (the International Center of Excellence for Countering Violent Extremism), Curtin University, People Against Violent Extremism (PaVE), and the Australian Government, Department of Foreign Affairs and Trade (DFAT). The Conference was also sponsored in part by the European Commission and the United States Department of State. The event was attended by approximately 100 academics, practitioners and policymakers from over 25 countries. The 2014 CVE Research Conference follows from the inaugural CVE Symposium hosted by Curtin University, PaVE, Macquarie University and Hedayah in Perth, Australia in 2013. As the first of its kind in the region, the 2013 Symposium brought together national and international scholars, practitioners, policymakers and former extremists to discuss and debate the current state and future directions for CVE. The intention for the CVE Research Conference is to be an annual event at which the yearly highlights of cutting-edge CVE research and innovation can be presented to academics, researchers, practitioners and policymakers on a global scale.

The growth of right-wing extremism, especially where it segues into hate crime and terrorism, poses new challenges for governments, not least because its perpetrators are typically lone actors, often radicalized online. The United Kingdom has struggled to define, tackle or legitimate against extremism, though it already has an extensive array of terrorism-related offences that target expression, encouragement, publication and possession of terrorist material. In 2019, the United Kingdom went further to make viewing terrorist-related material online on a single occasion a crime carrying a 15-year maximum sentence. This article considers whether UK responses to extremism, particularly those that target non-violent extremism, are necessary, proportionate, effective and compliant with fundamental rights. It explores whether criminalizing the curiosity of those who explore radical political ideas constitutes legitimate criminalization or overextends state power and risks chilling effects on freedom of speech, association, academic freedom, journalistic enquiry and informed public debate—all of which are the lifeblood of a liberal democracy.

Internet memes are increasingly used to sway and manipulate public opinion. This prompts the need to study their propagation, evolution, and influence across the Web. In this paper, we detect and measure the propagation of memes across multiple Web communities, using a processing pipeline based on perceptual hashing and clustering techniques, and a dataset of 160M images from 2.6B posts gathered from Twitter, Reddit, 4chan’s Politically Incorrect board (/pol/), and Gab, over the course of 13 months. We group the images posted on fringe Web communities (/pol/, Gab, and The_Donald subreddit) into clusters, annotate them using meme metadata obtained from Know Your Meme, and also map images from mainstream communities (Twitter and Reddit) to the clusters. Our analysis provides an assessment of the popularity and diversity of memes in the context of each community, showing, e.g., that racist memes are extremely common in fringe Web communities. We also find a substantial number of politics-related memes on both mainstream and fringe Web communities, supporting media reports that memes might be used to enhance or harm politicians. Finally, we use Hawkes processes to model the interplay between Web communities and quantify their reciprocal influence, finding that /pol/ substantially influences the meme ecosystem with the number of memes it produces, while td has a higher success rate in pushing them to other communities.

Over the past few years, a number of new “fringe” communities, like 4chan or certain subreddits, have gained traction on the Web at a rapid pace. However, more often than not, little is known about how they evolve or what kind of activities they attract, despite recent research has shown that they influence how false information reaches mainstream communities. This motivates the need to monitor these communities and analyze their impact on the Web’s information ecosystem. In August 2016, a new social network called Gab was created as an alternative to Twitter. It positions itself as putting “people and free speech first'”, welcoming users banned or suspended from other social networks. In this paper, we provide, to the best of our knowledge, the first characterization of Gab. We collect and analyze 22M posts produced by 336K users between August 2016 and January 2018, finding that Gab is predominantly used for the dissemination and discussion of news and world events, and that it attracts alt-right users, conspiracy theorists, and other trolls. We also measure the prevalence of hate speech on the platform, finding it to be much higher than Twitter, but lower than 4chan’s Politically Incorrect board.

VOX-Pol Blog post.

This thesis aimed to address these limitations by developing a cross-platform analysis framework for online-hate researchers to gain a clearer understanding of the dynamics of the global hate ecosystem. More specifically, the designing of this framework involved examining the main functionalities of existing online-hate analysis frameworks, and the extent to which they address cross-platform hate. The strengths and limitations of these approaches then informed the functional requirements of the cross-platform analysis framework. To demonstrate how the framework can provide novel insights into online-hate research, this thesis also details its application to various case studies, including online hate from white supremacy-supporting users and environments spread during the 2020 US election and the COVID-19 pandemic.