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This article represents an initial exploration of the content and posting strategies of the current wave of racist flyer drops in the US, focusing specifically on a dataset of all documented flyers posted in 2018. The dataset was generated by the Anti-Defamation League (ADL) and augmented by the authors. The dataset is unique among open sources and includes a large number of incidents which were not reported in the media. The article consists of three parts. The first documents and briefly discusses the groups engaged in racist flyer development and drops. The second describes and characterises the text and image content of the flyers. The final section uses open sources and leaked material to describe the process by which flyer drops are instigated, planned and documented.

Many prevention and countering of violent extremism experts place too much emphasis on the radicalising power of online mass distributed messaging by violent extremist groups. Instead, Nafees Hamid argues that radicalisation takes place in a social ecology within which the messaging of terrorist groups plays only a small role. This article shows that people are resistant to mass persuasion and that certain environments are more conducive to the spread of extremist messaging. Small-group dynamics are useful to explain the spread of ideas and that altering these dynamics can provide a buffer against some ideas while enabling others.

In this article, Charlie Winter challenges the way in which the word ‘propaganda’ is used in contemporary discourse around war and terrorism. He considers the case of the Islamic State, using it to demonstrate that the term – as it is conventionally understood – is an inadequate tool when it comes to describing the full range of tactical and strategic approaches to communication that are employed by insurgents today. If anything, he contends, ‘propaganda’ refers to an entire information ecosystem in which different media are geared towards different tasks.

In recent years, researchers have shown a vested interest in developing advanced information technologies, machine-learning algorithms, and risk-assessment tools to detect and analyze radical content online, with increased attention on identifying violent extremists or measuring digital pathways of violent radicalization. Yet overlooked in this evolving space has been a systematic examination of what constitutes radical posting behaviors in general. This study uses a sentiment analysis-based algorithm that adapts criminal career measures – and is guided by communication research on social influence – to develop and describe three radical posting behaviors (high-intensity, high-frequency, and high-duration) found on a sub-forum of the most conspicuous right-wing extremist forum. The results highlight the multi-dimensional nature of radical right-wing posting behaviors, many of which may inform future risk factor frameworks used by law enforcement and intelligence agencies to identify credible threats online.

Steam, the largest and most important online store for PC gamers with over $4 Billion in revenue in 2017, has recently gained popularity among white supremacists for being a platform, like Gab and Telegram, where they can openly express their ideology and calls for violence. The difference between Steam and social media platforms like Telegram or Gab is that while the latter do not share a formal business relationship with the wider social media industry, Steam has direct and lucrative relationships with most major game companies, including 2K, Electronic Arts, Xbox Game Studios, Ubisoft and others. Many of these game companies have made public statements about and dedicated significant resources towards keeping their products safe from the kinds of hateful ideologies espoused by extremists — while continuing to work with Steam.

This study investigates how visual manipulation is employed on the Facebook page of a far-right party; and whether manipulation evokes different forms of engagement from Facebook users. The study takes as a case the Facebook page of the British National Party (BNP), which has recently been censored from the social media platform. It therefore provides a rare insight in the visual practices of the party’s online political communication. A manual coding of 342 images into factual, funny, fallacious or fabricated content finds that completely fabricated information in images is rare. However, most images do contain information that is presented in a fallacious or misleading manner. The results show how deliberate manipulated images evoke more engagement in the form of comments and more negative emotional responses than images that present information in a factual or funny manner.