Online Library

Ephemeral digital trace data can decrease the completeness, reproducibility, and reliability of social media datasets. Systematic post deletions thus potentially bias the results of computational methods used to map actors, content, and online information diffusion. Therefore, the aim of this study was to assess the extent and distribution of message deletion across different data types using data from the hybrid messenger service Telegram, which has experienced an influx of deplatformed users from mainstream social media platforms. A repeatedly scraped sample of messages from public Telegram groups and channels was used to investigate the effect of message ephemerality on the consistency of Telegram datasets. The findings revealed that message deletion introduces biases to the computational collection and analysis of Telegram data. Further, message ephemerality reduces dataset consistency, the quality of social network analyses, and the results of computational content analysis methods, such as topic modeling or dictionaries. The implications of these findings for scholars aiming to use Telegram data for computational research, possible solutions, and contributions to the methodological advancement of studying online political communication are discussed further in this article.

In this study, we examine key psychological dimensions in the manifestos authored by the perpetrators of the Christchurch and Utøya massacres, the right-wing extremists Brenton Tarrant and Anders Breivik, and the ISIS propaganda magazine Rumiyah. All texts were authored and disseminated virtually with the purpose of attracting or consolidating support, and justifying violent, discriminatory actions. While right-wing supremacist and extremist Islamist discourses are ostensibly ideologically opposed, previous research has posited the existence of ideational and emotive commonalities. We approach this from a corpus-linguistic perspective, and employ the software LIWC2015 and Wmatrix to explore the dominant psychological dimensions, semantic categories and keywords in these texts. We identify elements that contribute to the construction of a narrative of hate, peril and urgency, and discuss differences in the imagery used to construct these meanings and to appeal to different audiences. Whilst our analysis supports the existence of commonalities in ideological content and discursive strategies, our results identify differences in the target of hate in right-wing supremacist discourse and we differentiate between primarily Islamophobic and racist motives. Finally, we also discuss the limitations inherent in employing these software tools to analyse discourse in the Web 2.0 era.

VOX-Pol Blog post.

This is a formal commentary, responding to Matthew Curran Benigni, Kenneth Joseph, and Kathleen Carley’s contribution, “Online extremism and the communities that sustain it: Detecting the ISIS supporting community on Twitter”. This brief review reflects on the ethics of big data research methodologies, and how novel methods complicate long-standing principles of research ethics. Specifically, the concept of the “data subject” as a corollary, or replacement, of “human subject” is considered.

This article argues that similarities between jihadism and far-right radicalism are increasing, particularly with regard to the spectacularisation of violence. Spectacularisation means representing and performing violence in the form of a show, for instance through live-streaming, with a renewed emphasis on captivating symbols and much less attention paid to the ideological foundations on which the radical project is supposed to rely. After the March 2019 shooting in Christchurch, New Zealand, the spectacularisation of racist, anti-Islamic and anti-Semitic violence increased, thus consolidating that event as a turning point in the evolution of the contemporary far right and the history of jihadism—which has far-right affinities. Lured by the performance of violence, the number of contemporary far-right sympathisers is steadily growing in a virtual environment that closely resembles that of jihadists, where patterns and mechanisms of online recruitment and grooming are proliferating.

This article’s objective is to categorize potential jihadists in Europe and provide an overview of contemporary methods for their recruitment. Taking into account the ubiquity of the Internet and social networking platforms, and the fact that younger generations are spending an ever increasing amount of time using contemporary communication technology, this article focuses on those recruitment methods that make use of social networking platforms and mobile applications for the spread of extremist propaganda, as well as for communication with potential adherents. An analysis of the age structure of individuals involved in the planning and carrying out of terrorist acts in Europe from November of 2015 to September of 2017 supports a hypothesis that contemporary recruitment methods are especially effective in targeting a younger demographic. In addition, this article negates the importance of traditional physical exposure to radical behavior, which serves to explain the increasing number of terrorist attacks in Europe conducted by radicalized citizens of European countries.