Online Library

In response to the emergence of new, paradigm-shifting technology that increases capability for the benefit and – as is the focus of this work – harm, we sought to provide contributions across three key areas. First, as a foundation, we provide a definition of the ambiguous and, at times, confusing term ‘metaverse’ and outline its unique characteristics as an emerging ecosystem. Second, we synthesise definitional framing with the violent extremist literature to offer guidance on how the metaverse can (and currently is), manifest in terrorist and extremist activities, such as recruitment, planning, finance, and malevolent creativity. We offer that while the use of the internet is not a novel application for such activities and groups, the metaverse and related technologies afford new opportunities for how the internet is used to advance violent missions and objectives. Third, we draw on psychology literature to offer potential mechanisms by which the metaverse may emerge as a future threat landscape. Future areas of research are also discussed.

Every day, internet users encounter hateful and dangerous speech online, and some of them choose to respond directly in order to refute or undermine it. We call this counterspeech. Only a few studies have attempted to measure the effectiveness of counterspeech directly, and as far as we know, this is the first review of relevant literature.

We’ve collected and reviewed related articles from a range of fields including political science, sociology, countering violent extremism, and computational social science. These articles do not all use the term “counterspeech,” but they shed light on various features of successful counterspeech, for example, qualities that make speakers/authors more influential in online interactions or the extent to which pro- and anti-social behavior is contagious on the internet.

Recent advances in generative Artificial Intelligence (AI) have inspired interest in using it to counter online hatred. This updated version of the annotated bibliography contains an entirely new section reviewing recent research related to AI-based counterspeech tools.

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.

In this article we describe our five-year research project on the notorious radical free speech service and fringe platform Gab. During these years we scraped an entire platform, prepared it into a dataset for analysis, and opened it up to a broader community of students and researchers. Each of these projects provides us not just with a small slice of platformized far-right culture but also with a larger sphere of a fringe platform. However, the overarching goal of the Gab project was to contribute to a methodology for the study of the contemporary platformized far right. The atypical nature of the project posed many methodological, epistemological, and legal challenges. It therefore kicked off an institutional learning process about the possibilities, legal boundaries, and best practices for research compliant with General Data Protection Regulation (GDPR). In this article we argue that the study of the platformized far right should have a thorough understanding of the medium on which the object is present, as well as the methods with which the object is captured. What is more, scholars that use digital tools and data methods for capture and analysis of web platforms must become literate in operating them. Consequently, data-driven research on the far right is naturally interdisciplinary and therefore cooperative and adherent to the principles of open science.

Many countries have formulated strategies to combat radicalization, and regulating and monitoring recommendations on social network platforms is part of these strategies. This article explores the concept of radicalization and the proposed causal link between recommendations and radicalization, highlighting some of the key characteristics of recommendation engines. Based on this background potential risk mitigation measures can be identified that directly affect the recommendation engines. To conclude, some key problems and dilemmas for risk management are discussed.

The dark web and terrorism have become closely intertwined, presenting new challenges to existing security frameworks globally. This brief examines the role of the dark web in enabling terrorist activities, from communication and recruitment to radicalisation and propaganda dissemination. It reviews current literature to highlight the ecosystem of the dark web and its ramifications on national security. The analysis describes the strategies adopted by terrorists in cyberspace, from exploiting mainstream social media platforms to leveraging encrypted channels and clandestine marketplaces. It also highlights the challenges confronting law enforcement and regulatory bodies in monitoring and combating terrorist activities on the dark web, underlining the need for global collaboration. It outlines recommendations for policymakers and security stakeholders to fortify cyber counterterrorism efforts while examining the specific challenges to India.