Online Library

In the context of the 2016 U.S. Presidential Election, President Donald Trump’s use of Twitter to connect with followers and supporters created unprecedented access to Trump’s online political campaign. In using the campaign slogan, “Make America Great Again” (or its acronym “MAGA”), Trump communicatively organized and controlled media systems by offering his followers an opportunity to connect with his campaign through the discursive hashtag. In effect, the strategic use of these networks over time communicatively constituted an effective and winning political organization; however, Trump’s political organization was not without connections to far-right and hate groups that coalesced in and around the hashtag. Semantic network analyses uncovered how the textual nature of #MAGA organized connections between hashtags, and, in doing so, exposed connections to overtly White supremacist groups within the United States and the United Kingdom throughout late November 2016. Cluster analyses further uncovered semantic connections to White supremacist and White nationalist groups throughout the hashtag networks connected to the central slogan of Trump’s presidential campaign. Theoretically, these findings contribute to the ways in which hashtag networks show how Trump’s support developed and united around particular organizing processes and White nationalist language, and provide insights into how these networks discursively create and connect White supremacists’ organizations to Trump’s campaign.

This study looks at how terror attacks are rendered discursively meaningful on social media through the concurrent use and reiteration of terror hashtags, which were created following previous incidents of terror. The article focuses on 12 terror attacks in Europe in 2015-2017 and their relating hashtags on Twitter, to see how various combinations of these were reused and co-articulated in tweets posted in relation to subsequent attacks. Through social network analysis of co-occurring hashtags in about 3 million tweets, in combination with close readings of a smaller sample, this study aims to analyze both the networks of hashtags in relation to terror attacks as well as the discursive process of hashtag co-articulation. The study shows that the patterns by which attack hashtags are reused and co-articulated depend on both temporal and contextual differences.

In the wake of the international refugee crisis, racist attitudes are becoming more publicly evident across the European Union. Propelled by the attacks in Köln on New Year’s Eve 2015 and harsher public sentiments on immigration, vigilante gangs have emerged in various European cities. These gangs mobilize through social media networks and claim to protect citizens from alleged violent and sexual attacks by refugees. This article analyzes how racist actors use social media to mobilize and organize street politics targeting refugees/immigrants. The aim is to explore the relation between social media and anti-refugee mobilization in a time of perceived insecurity and forced migration. The study uses the vigilante network Soldiers of Odin as a specific case, looking at (1) how they communicate through social media, (2) how they are represented in the large “alternative” space of right-wing online sites, and (3) how they are represented in traditional mainstream news. Using a critical adaption of Cammaerts’ theory of “mediation opportunity structure,” the article explicates the (inverted) rationale of racist online networks. Using quantitative and qualitative content analysis, both social media content and traditional news media are examined. The results show that although racist actors succeed in utilizing many of the opportunities embedded in social media communication and protest logic, they are also subject to constraints, such as a lack of public support and negative framing in news media. The article calls for more research on the (critical) relationship between uncivil engagement and social media networks.

This report represents the interim findings of a two-year study designed to increase understanding of the social media footprint of right-wing extremism (RWE) in Canada. This work is part of a larger project designed to understand RWE in Canada led by Ontario Tech University (OTU), in partnership with Michigan State University and the University of New Brunswick. This team are currently working on a similar project designed to map offline RWE in Canada. The project follows a similar study delivered in 2015, enabling researchers and policymakers to understand how RWE has changed in the past five years.

This article explores how the notion of “extreme speech” can advocate a context-specific, practice-oriented approach to alt-right digital culture while also foregrounding its imbrication in larger histories of racial formation. Designating the popular White-nationalist hashtag #whitegenocide as an alt-right structure of feeling, it uses a data-critical discourse on “digital traces” to support a form of social media ethnography that traces affective communication practices online. Bringing this framework to the analysis of top #whitegenocide retweets, it elaborates the functioning of alt-right affective economies of transgression, which, driven by reactionary irony and a sense of race-based threat, contribute to shaping civil discourse and defining Whiteness in digital spaces. Finally, it investigates how the locative and corporal traces left by individual #whitegenocide retweeters both shape and are shaped by larger affective economies of transgression.

Because it mostly exists online, the Alt Right does not have the infrastructure needed to launch a guerrilla war (as Nazi/Klan forces did in the 1980s) or build pseudo-state institutions (as Patriot groups did in the 1990s and are attempting again now), but it is in a strong position to pursue a “metapolitical” transformation of the political culture and thereby lay the groundwork for structural change, centered on its vision of a White ethnostate.