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Involuntary celibates, or incels, have been of heightened interest to scholars and practitioners due to their ongoing engagement in misogynistic and violent discourse. The incel subculture is complex, requiring unique strategies to develop effective interventions. The present study investigates patterns in incels’ online posting behaviors and whether acceptance of subcultural beliefs is reflected in variations of user engagement and posting behaviors over time. A sample of postings are drawn from a well-known incel-moderated forum and analyzed using group-based trajectory modeling. The results demonstrate that three distinct posting trajectory groups are present. The findings demonstrate heterogeneity among users’ posting behaviors in the forum over time and suggest that variation may be a reflection of users’ subcultural beliefs.

While the extreme right wing (ERW) has not gained a foothold in local or national Irish politics, the country has witnessed a growth in online activism and harassment, and physical protest and violence. This paper explores a case study based on 4876 unique posts from one Irish-based Telegram group active during six months of the COVID-19 pandemic. The main findings are that: (a) this group was heavily influenced by foreign content and influencers, in particular, American ERW content and conspiracies associated with QAnon; (b) conspiracy theories were not adopted wholesale but adapted for an Irish audience; (c) Irish actors were not passive receivers of US content, and multi-directional exchanges of ideas were witnessed. While generalising beyond the case study analysed in this paper would require further data, this may suggest that Irish influencers are part of a transnational online ecosystem in which ideas and theories are shared and adapted to local contexts. These findings offer insights into the ERW in Ireland and, more generally, how the ERW communicates and spread conspiracy theories across national borders.

The Islamic State in Iraq and Syria (ISIS), like no other terrorist organization before, has used Twitter and other social media channels to broadcast its message, inspire followers, and recruit new fighters. Though much less heralded, ISIS opponents have also taken to Twitter to castigate the ISIS message. This report draws on publicly available Twitter data to examine this ongoing debate about ISIS on Arabic Twitter and to better understand the networks of ISIS supporters and opponents on Twitter. To support the countermessaging effort and to more deeply understand ISIS supporters and opponents, this study uses a mixed-methods analytic approach to identify and characterize in detail both ISIS support and opposition networks on Twitter. This analytic approach draws on community detection algorithms that help detect interactive communities of Twitter users, lexical analysis that can identify key themes and content for large data sets, and social network analysis.