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.

VOX-Pol Blog post.

VOX-Pol Blog post.

This investigation employs the analytical framework established by Braddock and Horgan to conduct a comprehensive content analysis of 79 official English-language propaganda videos disseminated by ISIS, with the objective of quantifying the thematic composition and the evolutionary trajectory of ISIS’s international media operations and propaganda machinery from 2014 to 2017. The findings reveal that a predominant portion of the videos articulate narratives extensively centred around themes of the adversary and religious discourse, with the Sharia (Islamic law) emerging as the most prevalent theme. This research concludes that at a global scale, the propaganda apparatus of ISIS has orchestrated an intricate narrative, incorporating adversarial, theological, and emotional elements, thereby delineating the advanced sophistication of ISIS’s global propaganda endeavours.

In response to the emergence of new, paradigm-shifting technology that increases capability for the benefit and – as is the focus of this work – harm, we sought to provide contributions across three key areas. First, as a foundation, we provide a definition of the ambiguous and, at times, confusing term ‘metaverse’ and outline its unique characteristics as an emerging ecosystem. Second, we synthesise definitional framing with the violent extremist literature to offer guidance on how the metaverse can (and currently is), manifest in terrorist and extremist activities, such as recruitment, planning, finance, and malevolent creativity. We offer that while the use of the internet is not a novel application for such activities and groups, the metaverse and related technologies afford new opportunities for how the internet is used to advance violent missions and objectives. Third, we draw on psychology literature to offer potential mechanisms by which the metaverse may emerge as a future threat landscape. Future areas of research are also discussed.

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.