Online Library

Branding strategies are becoming increasingly important for terrorist organisations who need
to take a more purposeful approach at imbuing aspirational associations to their organisations
in order secure recruits and funds in an increasingly competitive environment. The creation
and implication of these individual brands are further amplified through the sophisticated
harnessing of ICT and digital media, where the harnessing of novel tactics and digital trends
feed into the increasing use of branding. It is a strategy being employed by numerous terrorist
groups, and a burgeoning research field is rapidly evolving to represent this development.
This study seeks to explore how al-Shabab constructs their brand in their digital magazine
Gaidi Mtaani, using Aristotle’s rhetorical triad of ethos, pathos and logos. This study has the
hopes of contributing to comparison studies between Dabiq and Inspire and wider terrorist
branding, terrorism, ICT and communication studies. Understanding the differences between
how some of the most notorious terrorist organizations distinguish themselves will help
counter the rhetoric and brand associations projected through their publications. In order to
answer this research question, this study will consist of a two-part theoretical framework
situated in the concept of branding and rhetoric theory. Rhetoric theory will help this study
understand how al-Shabab communicate and constructs their brand. It will allow for the
analysis of any persuasive communications that express al-Shabab’s brand associations and
help analyse al-Shabab’s divisive use of language in order to ultimately promote their brand
and ideas. The empirical data will be analysed through the use of qualitative content analysis.

People who do counterspeech almost universally want to reach audiences, not the people spreading harmful speech. Drawing on over 50 interviews with counterspeakers, this paper reports on four primary theories of change as counterspeakers describe them, and discusses the implications of this for researchers.

Every day, internet users encounter hateful and dangerous speech online, and some of them choose to respond directly in order to refute or undermine it. We call this counterspeech. Only a few studies have attempted to measure the effectiveness of counterspeech directly, and as far as we know, this is the first review of relevant literature.

We’ve collected and reviewed related articles from a range of fields including political science, sociology, countering violent extremism, and computational social science. These articles do not all use the term “counterspeech,” but they shed light on various features of successful counterspeech, for example, qualities that make speakers/authors more influential in online interactions or the extent to which pro- and anti-social behavior is contagious on the internet.

Recent advances in generative Artificial Intelligence (AI) have inspired interest in using it to counter online hatred. This updated version of the annotated bibliography contains an entirely new section reviewing recent research related to AI-based counterspeech tools.

#jagärhar is by far the largest and best-organized collective effort to respond directly to hatred online, anywhere in the world, as far as we know. It is also one of only two civil society efforts against hatred online to have been replicated in numerous other countries. In this detailed account of its efforts– the first qualitative study of such a group – Cathy Buerger shares her findings on how and why #jagärhär members do what they do, how working collectively influences members’ ability and willingness to respond to hatred, and how the group’s strategy is carefully designed to take advantage of Facebook’s algorithms and influence ideas and discourse norms among the general public – not necessarily the ones writing the hateful comments.

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.