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As a social media platform, Instagram has a strong influence on youth culture, identity, and perceptions of the world, with the application serving not only for youth to follow accounts that are aspirational but also for entertainment and identity building through memes. Meme accounts that are explicitly conservative and that espouse white supremacist, hateful ideology and subsequently, identity, are incredibly prevalent. Media serve as powerful institutions for the socialization of youth, and content on the platform reveals that memes are serving as building blocks of ideological meaning. This study conducted a discourse analysis of the memes and content circulated by the alt-right affiliate movement the ‘Proud Boys,’ which is being sold to young men as a fraternity-like organization to celebrate ‘Western ideals’. Proud Boys operate on an ideology that consists of both symbolic and physical violence, and the popularity of these groups is growing. Using Bourdieu’s work on language as a framework, this article is an exploration to their recruitment and world-building practices on Instagram using memes and will be necessary to understand the movement, and to gain further insight into how memes are being used as propaganda.

Extreme online content from far-right organisations, including the website of a banned terrorist group, is accessible via hardware based in the UK, potentially in breach of the law, and in contrast with Theresa May’s call for technology companies to act to remove terrorist content from their platforms.

Exposure to hate material is related to a host of negative outcomes. Young people might be especially vulnerable to the deleterious effects of such exposure. With that in mind, this article examines factors associated with the frequency that youth and young adults, ages 15 to 24, see material online that expresses negative views toward a social group. We use an online survey of individuals recruited from a demographically balanced sample of Americans for this project. Our analysis controls for variables that approximate online routines, social, political, and economic grievances, and sociodemographic traits. Findings show that spending more time online, using particular social media sites, interacting with close friends online, and espousing political views online all correlate with increased exposure to online hate. Harboring political grievances is likewise associated with seeing hate material online frequently. Finally, Whites are more likely than other race/ethnic groups to be exposed to online hate frequently.

• In this report, we show how recent terror attacks in the UK have been successfully exploited by anti-Muslim activists over social media, to increase their reach and grow their audiences.
• Monitoring key anti-Muslim social media accounts and their networks, we show how even small events are amplified through an international network of activists.
• We also provide concrete evidence of a leading anti-Muslim activist whose message is hugely amplified by the use of a 100+ strong ‘bot army’.
• The global reach, low price and lack of regulation on social media platforms presents new possibilities for independent, single issue and extremist viewpoints to gain significant audiences.
• We delve into the murky and secretive world of the dark web to explore just what tools are available for manipulating social media and show how easy it is to make use of these tactics even for non-tech savvy users.
• Through testing, we conclude that even cheaply inflating one’s number of followers has an effect on the ability to reach a larger audience.
• We situate these developments in the context of increasing hostility towards Muslims and immigration in the Europe and the US.
• “Trigger events” such as terror attacks, and other events that reflect badly on Muslims and Islam, cause both an increase in anti-Muslim hate on the street and, as we will show, also online.

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.