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This paper reports on a study that is part of a project which aims to develop a multimodal analytical approach for big data analytics, initially in the context of violent extremism. The findings reported here tested the application of natural language processing models to the text of a sample of articles from the online magazines Dabiq and Rumiyah, produced by the Islamic extremist organisation ISIS. For comparison, text of articles found by reverse image search software which re-used the lead images from the original articles in text which either reported on or opposed extremist activities was also analysed. The aim was to explore what insights the natural language processing models could provide to distinguish between texts produced as propaganda to incite violent extremism and texts which either reported on or opposed violent extremism. The results showed that some valuable insights can be gained from such an approach and that these results could be improved through integrating automated analyses with a theoretical approach with analysed language and images in their immediate and social contexts. Such an approach will inform the interpretation of results and will be used in training software so that stronger results can be achieved in the future.

This paper investigates the link between social media and hate crime. We show that antirefugee sentiment on Facebook predicts crimes against refugees in otherwise similar municipalities with higher social media usage. To establish causality, we exploit exogenous variation in the timing of major Facebook and internet outages. Consistent with a role for “echo chambers,” we find that right-wing social media posts contain narrower and more loaded content than news reports. Our results suggest that social media can act as a propagation mechanism for violent crimes by enabling the spread of extreme viewpoints.

The terrorist attack in Christchurch, New Zealand is a landmark in far-right terrorist behaviour within the Asia Pacific (APAC) region. The Australian far-right terrorist held both domestic and transitional connections to other far-right extremist groups and travelled extensively before committing the attack in New Zealand. The assailant’s proficiency with weaponry and technology is considerable, as is his relationship with the online far-right community. However, little discussion is made about this incident as an evolutionary step for far-right terrorism and how it could impact the region. Accordingly, this article examines the Christchurch far-right terrorist attack, how this attack may impact the future of far-right terrorism and what are the responses to the attack by politicians and tech companies. The article finds the assailant’s behaviour significant for far-right terrorist behaviour in the APAC region with the potential for mimetic instances in the region.

The 2016 US election and the victory of Donald Trump are closely connected to a perceived rise of the far-right in the United States. We build upon public sphere and alternative media theory to discuss the relevance of alternative media for the US (far-)right and whether the election period and the candidate Trump allowed far-right alternative media to establish themselves in the (far-) right networked public sphere. We investigate whether it has come to a convergence of topics between the right and the extreme far-right. We analyze the topics nine right-wing outlets, ranging from Fox News to the Neo-Nazi Daily Stormer, covered in 2015/2016 during the US presidential election. We show through topic modeling of 21,919 articles how Breitbart established itself as a media outlet between the extreme far-right and mainstream right by both covering more extreme and more classic conservative topics. We show through time series clustering how Breitbart and Fox News converged in their coverage of Islam and immigration. Finally, we show through hyperlink analysis that the connection between the far-right and the mainstream right is mostly one-sided; while the alternative outlets link to more established ones, the established outlets mostly ignore the outlets from the far-right.

The internet clearly matters to terrorists, but online content by itself rarely causes people to carry out terrorist attacks. Responses should therefore not be limited to the mass removal of terrorist content from online platforms.

The Brexit referendum to leave the EU and Trump’s success in the US general election in 2016 sparked new waves of discussion on nativism, nationalism, and the far right. Within these analyses, however, very little attention has been devoted towards exploring the transnational ideological circulation of Islamophobia and anti-establishment sentiment, especially amongst diaspora and migrant networks. This article thus explores the role of the Indian diaspora as mediators in populist radical right discourse in the West. During the Brexit referendum and Trump’s election and presidency, a number of Indian diaspora voices took to Twitter to express pro-Brexit and pro-Trump views. This article presents a year-long qualitative study of these users. It highlights how these diasporic Indians interact and engage on Twitter in order to signal belonging on multiple levels: as individuals, as an imaginary collective non-Muslim diaspora, and as members of (populist radical right) Twitter society. By analysing these users’ social media performativity, we obtain insight into how social media spaces may help construct ethnic and (trans)national identities according to boundaries of inclusion/exclusion. This article demonstrates how some Indian diaspora individuals are embedded into exclusivist national political agendas of the populist radical right in Western societies.