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We welcome the increased focus amongst policymakers on the role played by content personalisation and other algorithmic recommendation systems on online platforms. Such scrutiny is warranted. Terrorist groups exploit platforms that make use of recommendation algorithms, and there are examples of individuals coming into contact with terrorist and violent extremist content via platforms using content personalisation. However, we are concerned that the current debate is, on a policy level, based on an incomplete understanding of terrorist use of the internet, and that a focus on content personalisation is a distraction from more important steps that should be taken to tackle terrorist use of the internet.

The increasing pervasiveness of social media has been matched by growing concerns regarding their potential impact on democracy and public debate. While some theorists have claimed that ICTs and social media would bring about a new independent public sphere and increase exposure to political divergence, others have warned that they would lead to polarization, through the formation of echo chambers. The issue of social media echo chambers is both crucial and widely debated. This article attempts to provide a comprehensive account of the scientific literature on this issue, highlighting the different approaches, their similarities, differences, benefits and drawbacks, and offering a consolidated and critical perspective that can hopefully support future research in this area. Concretely, it presents the results of a systematic review of 55 studies investigating the existence of echo chambers on social media, identifying patterns across their foci, methods and findings, and shedding light on the contradictory nature of the literature. We found that the results of research on this issue seem largely influenced by methodological and data collection choices. Indeed, articles that found clear evidence of echo chambers on social media were all based on digital trace data, while those that found no evidence were all based on self-reported data. Future studies should take into account the potential biases of the different approaches and the significant potential of combining self-reported data with digital trace data.

The project Mapping Networks and Narratives of Online Right-Wing Extremists in New South Wales (NSW) used the systematic mining and analysis of online data to generate evidence-based insights into online right-wing extremism (RWE) across the state. The project was conducted between July 2019 and February 2020 with data collection occurring from August to November 2019. The project addressed three key areas:

– What is the nature of the online RWE environment in NSW?
– How are themes and narratives framed in different online contexts in order to mobilise support?
– What level of risk does the online RWE environment pose?

The research areas were framed as broad questions to facilitate wide exploratory research into the online RWE movement in NSW, a milieu that has been little studied. This breadth of scope was considered pertinent in the wake of the March 2019 mass casualty terrorist attack in Christchurch, New Zealand, by an attacker originating from NSW.

This paper goes to the heart of this special issue by exploring the case of the web site, Jihadology, which the author founded and has managed for the past ten-plus years. It explores various issues including why such a site is necessary and/or useful, questions about dissemination and open access, lessons learned about responsibility and interaction with jihadis online, the evolution of the website that has the largest repository of jihadi content, interactions with governments and technology companies and how they viewed and dealt with the website. The paper also explores how the experience gained might help other researchers interested in creating primary source-first websites to assist in their research as well as to the benefit of others in the field. Therefore, this paper aims to shed light not only on this unique case, but also on the moral and ethical questions that have arisen through maintaining the Jihadology website for more than a decade in a time of changing online environments and more recent calls for censorship.

Although many law enforcement and intelligence agencies are concerned about online communities known to facilitate violent right-wing extremism, little is empirically known about the presence of extremist ideologies, expressed grievances, or violent mobilization efforts that make up these spaces. In this study, we conducted a content analysis of a sample of postings from two of the most conspicuous right-wing extremist forums known for facilitating violent extremism, Iron March and Fascist Forge. We identified a number of noteworthy posting patterns within and across forums that may assist law enforcement and intelligence agencies in identifying credible threats online.

Social media has become an essential part of the daily routines of children and adolescents. Moreover, enormous efforts have been made to ensure the psychological and emotional well-being of young users as well as their safety when interacting with various social media platforms. In this paper, we investigate the exposure of those users to inappropriate comments posted on YouTube videos targeting this demographic. We collected a large-scale dataset of approximately four million records, and studied the presence of five age-inappropriate categories and the amount of exposure to each category. Using natural language processing and machine learning techniques, we constructed ensemble classifiers that achieved high accuracy in detecting inappropriate comments. Our results show a large percentage of worrisome comments with inappropriate content: we found 11% of the comments on children’s videos to be toxic, highlighting the importance of monitoring comments, particularly on children platforms.