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This paper uses a multimodal mixed methods approach for exploring general recontextualisation patterns of violent extremist images in online media. Specifically, the paper reports on the preliminary findings of a preliminary study which investigates various patterns in the reuse of images which appear in ISIS’s official propaganda magazines Dabiq and Rumiyah by others across various public online media platforms (e.g. news websites, social media news aggregates, blogs). Using a mixed methods approach informed by multimodal discourse analysis, and combined with data mining and information visualisation, the study addresses questions such as which types of images produced and used by ISIS in its propaganda magazines recirculate most frequently in other online media over time, on which types of online media these images reappear, and in which contexts they are used and reused on these websites, that is that is, whether the tone of the message is corporate (formal) or personal (informal). Preliminary findings from the study suggest different recontextualisation patterns for certain types of ISIS-related images of over time. The study also found that the majority of violent extremist images used in the sample analysis appear to circulate most frequently on Western news and politics websites and news aggregate platforms, in predominantly formal contexts.

Responding to critical questions on the al-Hebah Forum in 2007, the leading chief ideologue of AQIM, Abu ‘l-Hassan Rashid, provides a chilly look on the jihadists practical understanding and definition of deploying suicide-bombers and the potential of killing innocent Muslim bystanders during such operations. The 2007 document is based on comprising Arabic sources that have been over the years disseminated and amended by the means of the internet. The article intends to provide an assessment of alleged Islamic principles used for such attacks and draws on a comprising database of jihadist writings and videos. Rashid cites and builds his arguments on writings that can be in the meantime termed as common understanding and knowledge by most sympathizers on- and offline. By including AQIM videos the article intends to further analyze the practical incorporation of the language and notion of the jihadists as portrayed and disseminated by AQ’s video outlets.

Although it has been a part of the dark underbelly of the Internet since its inception, recent events have brought the discussion board site 4chan to the forefront of the world’s collective mind. In particular, /pol/, 4chan’s “Politically Incorrect” board has become a central figure in the outlandish 2016 Presidential election. Even though 4chan has long been viewed as the “final boss of the Internet,” it remains relatively unstudied in the academic literature. In this paper we analyze /pol/ along several axes using a dataset of over 8M posts. We first perform a general characterization that reveals how active posters are, as well as how some unique features of 4chan affect the flow of discussion. We then analyze the content posted to /pol/ with a focus on determining topics of interest and types of media shared, as well as the usage of hate speech and differences in poster demographics. We additionally provide quantitative evidence of /pol/’s collective attacks on other social media platforms. We perform a quantitative case study of /pol/’s attempt to poison anti-trolling machine learning technology by altering the
language of hate on social media. Then, via analysis of comments from the 10s of thousands of YouTube videos linked on /pol/, we provide a mechanism for detecting attacks from /pol/ threads on 3rd party social media services.

The Islamic State of Iraq and Syria (ISIS) has received a tremendous amount of media coverage in the past few years for their successful use of social media to spread their message and to recruit new members. In this work, we leverage access to the full Twitter Firehose to perform a large-scale observational study of one year of ISIS social activity. We quantify the size of ISIS presence on Twitter, the potential amount of support it received, and its collective influence over time. We find that ISIS was able to gain a relatively limited portion from the total influence mass on Twitter and that this influence diminished over time. In addition, ISIS showed a tendency towards attracting interactions from
other similar pro-ISIS accounts, while inviting only a limited anti-ISIS sentiment. We find that 75% of the interactions ISIS received on Twitter in 2015 actually came from eventually suspended accounts and that only about 8% of the interactions they received were anti-ISIS. In addition, we have created a unique dataset of 17 million ISIS-related tweets posted in 2015 which we make available for research purposes upon request.

VOX-Pol Blog post.