Online Library

Race and racism persist online in ways that are both new and unique to the Internet, alongside vestiges of centuries-old forms that reverberate significantly both offline and on. As we mark 15 years into the field of Internet studies, it becomes necessary to assess what the extant research tells us about race and racism. This paper provides an analysis of the literature on race and racism in Internet studies in the broad areas of (1) race and the structure of the Internet, (2) race and racism matters in what we do online, and (3) race, social control and Internet law. Then, drawing on a range of theoretical perspectives, including Hall’s spectacle of the Other and DuBois’s view of white culture, the paper offers an analysis and critique of the field, in particular the use of racial formation theory. Finally, the paper points to the need for a critical understanding of whiteness in Internet studies.

When debates about Islam acquire importance in the public sphere, does the far right adhere to traditional racist arguments, risking marginalization, or does it conform to mainstream values to attain legitimacy in the political system? Focusing on the aftermath of the 2015 terrorist attacks in France, I explore the framing of Islam, discussing how the far right’s nativist arguments were reformulated to engage with available discursive opportunities and dominant conceptions of the national identity. By looking at actors in the protest and the electoral arenas, I examine the interplay between the choice of anti-Islam frames and baseline national values.

I offer a novel mixed-method approach to study political discourses, combining social network analysis of the links between seventy-seven far-right websites with a qualitative frame analysis of online material. It also includes measures of online visibility of these websites to assess their audiences. The results confirm that anti-Islam frames are couched along a spectrum of discursive opportunity, where actors can either opt to justify opposition to Islam based on interpretations of core national values (culture and religion) or mobilize on strictly oppositional values (biological racism). The framing strategy providing most online visibility is based on neo-racist arguments. While this strategy allows distortion of baseline national values of secularity and republicanism, without breaching the social contract, it is also a danger for organizations that made “opposition to the system” their trademark. While the results owe much to the French context, the conclusions draw broader implications as to the far right going mainstream.

Departing from Jessie Daniels’s 2013 review of scholarship on race and racism online, this article maps and discusses recent developments in the study of racism and hate speech in the subfield of social media research. Systematically examining 104 articles, we address three research questions: Which geographical contexts, platforms, and methods do researchers engage with in studies of racism and hate speech on social media? To what extent does scholarship draw on critical race perspectives to interrogate how systemic racism is (re)produced on social media? What are the primary methodological and ethical challenges of the field? The article finds a lack of geographical and platform diversity, an absence of researchers’ reflexive dialogue with their object of study, and little engagement with critical race perspectives to unpack racism on social media. There is a need for more thorough interrogations of how user practices and platform politics co-shape contemporary racisms.

This Strategic Studies Institute book provides a comprehensive research guide to radical Islamist English-language online magazines published between April-May 2007 and November 2016, as well as Islamic State eBooks published between November 2012 and November 2015, and a number of assorted radical Islamist news magazines, reports, and pocketbooks. A comparative analysis of Inspire and Dabiq magazine issues are provided along with strategic insights related to al-Qaeda and Islamic State online magazine clusters and their differing strategic approaches as articulated in these magazines. Finally, policy response options, utilizing a targeting schema leveraging the five stages of the magazine life-cycle process: environmental motivators, production, end product, distribution, and outcomes, are discussed.

Progressive political movements and activists are not the only ones appropriating Web 2.0 as a way to construct independent public spaces and voice counter- hegemonic discourses. By looking at the other extreme of (post-)fascist movements, it will be shown that the internet also gives rise to anti-public spaces, voicing hatred and essentialist discourses. In this article, discourses of hate produced by North- Belgian (post-)fascist movements and activists will be analysed. Theoretically the analysis is informed by radical pluralism and the limits of freedom of speech in a strong democracy. The cases presented challenge the limits of freedom of speech and of radical pluralism and bring us to question whether being a racist is a democratic right, whether freedom of speech includes opinions and views that challenge basic democratic values.

The online domain potentially provides research with a vast body of data. The big quest within contemporary research is to make sense of all this data. A possibility to handle such data is by combining methods from the fields of new media and linguistics. Several studies have sought to understand how radicalism online comes to exist and grows. To date, however, none of these studies have fruitfully analysed language patterns within online communities that move beyond keyword analysis. In this thesis, I demonstrate a proof of concept for a classifier analysing and predicting salient language features within online radical discourse from the social media platform Reddit. Data consist of two datasets, radical and non-radical in nature, both containing 1 millions lines of text per dataset. The radical dataset is known for its radical nature, promoting radicalism in a variety of beliefs such as anti-feminism or white supremacy. Using software libraries as NLTK and SciKit within Python, I submitted that data to keyword and collocation frequency count, lexical diversity, a part-of-speech tagger and ultimately as features for a document classifier. Results showed that the radical discourse used in this thesis contains salient language features and show a clear sense of a virtual community. Finally, I discuss the implications of this thesis and provide directions for further research. Data was provided by TNO The Hague as part of the VOX-Pol project.