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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 white nationalist movements have seen their followers grow by more than 600% since 2012. Today, they outperform ISIS in nearly every social metric, from follower counts to tweets per day. This study examines and compares the use of Twitter by white nationalists, Nazi sympathizers, and ISIS supporters respectively, providing some preliminary comparisons of how each movement uses the platform.

The so-called ‘alt-right’ is an amorphous but synchronized collection of far-right people and movements, an umbrella label for a number of loosely affiliated social movements around the world, although its centre of gravity is in the United States. Many factors have contributed to the alt-right’s rise to prominence, but one of the most visible is its online presence. Alt-right views have been promoted online by a small army of trolls and activists staging harassment campaigns, pushing hashtags and posting links to extremist content and conspiracy theories on social media. Since 2016, the alt-right and its allies have held an increasingly prominent place in American and European politics, rallying support behind a variety of causes and candidates. This study seeks to evaluate the alt-right’s online presence with robust metrics and an analysis of content shared by adherents. The alt-right has many components online; this report will primarily examine its presence on Twitter, in part because the movement is particularly active on that platform, and in part because Twitter’s data access policies allow for more robust evaluation than is possible on other platforms.

Erratum: Due to a collection error discovered after publication, some tweets in this dataset were truncated. This mainly affected the precise counts of top hashtags and may also have had a minor impact on the order in which hashtags were ranked. We do not believe the impact is material to the study’s overall findings.

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.

This report compares two large random samples of Twitter accounts that tweet in English: one taken just before Elon Musk acquired Twitter in October 2022, and one taken three months later, in January 2023. It also examines several related datasets collected during the period following the acquisition, a period in which, the study found, new accounts were created at a record-breaking pace. Some extremist and conspiracy networks created accounts faster than the baseline rate, probably because changes to Twitter’s trust and safety policies had been announced. In the context of these policy announcements, the study examines some reinstated accounts, with mixed results. Despite the loosening of several content policies, accounts that automated the sending of tweets (‘bots’) saw activity drop sharply during the period of the study, with many bot accounts being suspended or deactivated, while others voluntarily curtailed their activity in light of the API changes announced. Deactivated accounts were dominated by sex- related content and apparent financial spam or scams, often coupled with automated tweeting.