Journal Article

The polarizing tendency of politically leaned social media is usually claimed to be spontaneous, or a by-product of underlying platform algorithms. This contribution revisits both claims by articulating the digital world of social media and rules derived from capitalist accumulation in the post-Fordist age, from a transdisciplinary perspective articulating the human and exact sciences. Behind ...

Some moderation strategies of online content have targeted the individuals believed to be the most influential in the diffusion of such material, while others have focused on censorship of the content itself. Few approaches consider these two aspects simultaneously. The present study addresses this gap by showing how a socio-semantic network analysis can help identify ...

Disrupting the emergence and evolution of potentially violent online extremist movements is a crucial challenge. Extremism research has analyzed such movements in detail, focusing on individual- and movement-level characteristics. But are there system-level commonalities in the ways these movements emerge and grow? Here we compare the growth of the Boogaloos, a new and increasingly prominent ...

Several alternative social media platforms have emerged in response to perceptions that mainstream platforms are censoring traditional conservative ideologies. However, many of these alternative social media platforms have evolved to be outlets for hate speech and violent extremism. This study examines hate-based channels on Telegram from a US perspective. While Telegram has often been studied ...

Social media platforms are popular for expressing personal views, emotions and beliefs. Social media platforms are influential for propagating extremist ideologies for group-building, fund-raising, and recruitment. To monitor and control the outreach of extremists on social media, detection of extremism in social media is necessary. The existing extremism detection literature on social media is limited ...

This study involved the creation of factors and indicators that can detect radicalization in social media posts. A concurrent approach of an expert knowledge acquisition process (modified Delphi technique) and literature review was utilized. Seven Singapore subject-matter experts in the field of terrorism evaluated factors that were collated from six terrorism risk assessment tools (ERG ...

The counterterrorism and CVE community has long questioned the effectiveness of counterspeech in countering extremism online. While most evaluation of counterspeech rely on limited reach and engagement metrics, this paper explores two models to better measure behavioral change and sentiment analysis. Conducted via partnerships between Facebook and counter-extremism NGOs, the first model uses A/B testing ...

Extreme, anti-establishment actors are being characterized increasingly as ‘dangerous individuals’ by the social media platforms that once aided in making them into ‘Internet celebrities’. These individuals (and sometimes groups) are being ‘deplatformed’ by the leading social media companies such as Facebook, Instagram, Twitter and YouTube for such offences as ‘organised hate’. Deplatforming has prompted debate ...

This paper reports on a study that is part of a project which aims to develop a multimodal analytical approach for big data analytics, initially in the context of violent extremism. The findings reported here tested the application of natural language processing models to the text of a sample of articles from the online magazines ...

This article begins by outlining four post-WWII strategies of right-wing revolutionary resistance: vanguardism; the cell system; leaderless resistance; and metapolitics. Next, the article argues that metapolitics became a preferred strategy for many right-wing revolutionaries during the 2000s and early 2010s, and proposes three conditions that may help explain this metapolitical turn: limited opportunities for armed ...