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Islamic State of Iraq and Syria (ISIL) supporters fanned out large amounts of Arabic content across Twitter all through the week in the wake of the news surrounding the death of Abu Bakr al Baghdadi. Many accounts were exhibiting strong and multiple signals of automated behavior1, spawning every hour, on the hour, and Institute for Strategic Dialogue (ISD) researchers monitored and tracked these accounts, and their tactics for the past week following the news. Twitter, and accounts specifically designed to report ISIL activity, were limiting some of the effects of what researchers were calling the ‘Baghdadi Net.’ However, it was clear the accounts were able to generate again, sometimes seconds within a takedown period, and spread video, and audio, as well as new ISIL-news content. Many accounts used western avatars, linked to real people, as well as hashtags that were trending across the Middle East and North Africa, including those being used in the Iraq and Lebanon protests. Latching on to trending topics is a well-documented tactic by ISIL and other groups to increase impressions and overall reach of content. As of Friday, the accounts were tweeting out audio content produced by al Furqan media heralding the ascension of the new ISIL leader Abu Ibrahim al Hashimi al Qurashi.

With large social media platforms coming under increasing pressure to deplatform far-right users, the Alternative Technology movement (Alt-Tech) emerged as a new digital support infrastructure for the far right. We conduct a qualitative analysis of the prominent Alt-Tech platform Gab, a social networking service primarily modelled on Twitter, to assess the far-right virtual community on the platform. We find Gab’s technological affordances – including its lack of content moderation, culture of anonymity, microblogging architecture and funding model – have fostered an ideologically eclectic far-right community united by fears of persecution at the hands of ‘Big Tech’. We argue that this points to the emergence of a novel techno-social victimology as an axis of far-right virtual community, wherein shared experiences or fears of being deplatformed facilitate a coalescing of assorted far-right tendencies online.

In our interview, Brian Fishman, Facebook’s Counterterrorism Policy Manager, provides a detailed
description of how Facebook is using artificial intelligence and a dedicated team of counterterrorism
specialists to remove terrorism content from its platform. Given the emergence of a new
generation of leadership within al-Qa`ida, it is critical to understand the evolving threat from the
group in the Afghanistan-Pakistan region.

Die Autoren nehmen sich des Problems der Nutzung des Internets durch Linksextremisten an und analysieren die unterschiedlichen “Gesichter“ des linksextremismus im Internet.

Eco-fascism is emerging at both the highest levels of state and the lowest reaches of the political underworld. However, this may be only part of a much larger, more idealogically complex, emerging extremist threat. The climate crisis–and the crisis of global financial capitalism from which it is inextricable–may yet be driving a realignment of extremist environmental politics. An exploratory analysis of radical environmentalist discourse on the Twitter platform reveals the emergence of an ecological extremism that confounds contemporary understandings of the left, right, authoritarian and liberal. If this represents the future of eco-extremism, it may be necessary for researchers and practitioners to reorient the frameworks that guide their assessment of emerging risks.

WhatsApp is the most popular messaging app in the world. Due to its popularity, WhatsApp has become a powerful and cheap tool for political campaigning being widely used during the 2019 Indian general election, where it was used to connect to the voters on a large scale. Along with the campaigning, there have been reports that WhatsApp has also become a breeding ground for harmful speech against various protected groups and religious minorities. Many such messages attempt to instil fear among the population about a specific (minority) community. According to research on inter-group conflict, such `fear speech’ messages could have a lasting impact and might lead to real offline violence. In this paper, we perform the first large scale study on fear speech across thousands of public WhatsApp groups discussing politics in India. We curate a new dataset and try to characterize fear speech from this dataset. We observe that users writing fear speech messages use various events and symbols to create the illusion of fear among the reader about a target community. We build models to classify fear speech and observe that current state-of-the-art NLP models do not perform well at this task. Fear speech messages tend to spread faster and could potentially go undetected by classifiers built to detect traditional toxic speech due to their low toxic nature. Finally, using a novel methodology to target users with Facebook ads, we conduct a survey among the users of these WhatsApp groups to understand the types of users who consume and share fear speech. We believe that this work opens up new research questions that are very different from tackling hate speech which the research community has been traditionally involved in.