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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.

This research examines the relationship between race and exposure to online hate material. The utilization of websites, weblogs, newsgroups, online games, radio broadcasts, online newsletters and a myriad of other online platforms has proliferated race-based hate groups in the US (Shafer 2002). According to the Southern Poverty Law Center (SPLC), the number of hate groups has been on the rise since the 1990s and continues to gain momentum with the advent of social media (Potok 2017). Exposure to separatist ideologies has propelled these radical rightwing groups into the mainstream by way of social media platforms, as they are “the most active producers of online hate material” (Costello, Hawdon, Ratliff, and Grantham 2016: pg. 313). That dissemination of radical rightwing ideologies, such as white supremacy, racial purity, and racial solidarity, exists is not enough in understanding what individuals are exposed to race-based hate ideologies in online platforms. Exposure is the key to understanding the growth of these race-based hate groups and ways of countering the efforts to disseminate radical rightwing ideologies due to its relationship to hate group emergence and persistence. More so, understanding how these groups target individuals and recruit through social networking sites can provide insight into exposure. Exposure to hate material aids groups in recruiting new members and victimizing potential targets. In the same manner, exposure to hate material is victimization of those who are exposed. In a sample collected by Costello et al. (2016a), of those exposed to hate material online nearly half centered on race. Thus, it is tantamount that research is conducted examining the role that race plays in determining who is exposed to hate material online, and how individuals react to hate material based on race. This dissertation will examine the importance of exposure to hate. Specifically, this dissertation will analyze survey data gathered from the Online Extremism Survey using logistic regression analysis and linear regression to understand exposure to hate material online and routine activity theory.

The subreddit r/WatchRedditDie was founded in 2015 after reddit started implementing anti-harassment policies, and positions itself as a “fire alarm for reddit” meant to voyeuristically watch reddit’s impending (symbolic) death. As conversations around platform governance, moderation, and the role of platforms in controlling hate speech become more complex, r/WatchRedditDie and its affiliated subreddits are dedicated in maintaining a version of reddit tolerant of any and all speech, excluding other more vulnerable users from fully participating on the platform. r/WatchReditDie users advocate for no interference in their activities on the platform—meaning that although they rely on the reddit infrastructure to sustain their community, they aim to self-govern to uphold a libertarian and often manipulated interpretation of free expression. Responding to reddit’s evolving policies, they find community with one another by positioning the platform itself as their main antagonist. Through the social worlds framework, I examine the r/WatchRedditDie community’s responses to platform change, bringing up new questions about the possibility of shared governance between platform and user, as well as participatory culture’s promises and perils.

In this paper we explore quarantining as a more ethical method for delimiting the spread of Hate Speech via online social media platforms. Currently, companies like Facebook, Twitter, and Google generally respond reactively to such material: offensive messages that have already been posted are reviewed by human moderators if complaints from users are received. The offensive posts are only subsequently removed if the complaints are upheld; therefore, they still cause the recipients psychological harm. In addition, this approach has frequently been criticised for delimiting freedom of expression, since it requires the service providers to elaborate and implement censorship regimes. In the last few years, an emerging generation of automatic Hate Speech detection systems has started to offer new strategies for dealing with this particular kind of offensive online material. Anticipating the future efficacy of such systems, the present article advocates an approach to online Hate Speech detection that is analogous to the quarantining of malicious computer software. If a given post is automatically classified as being harmful in a reliable manner, then it can be temporarily quarantined, and the direct recipients can receive an alert, which protects them from the harmful content in the first instance. The quarantining framework is an example of more ethical online safety technology that can be extended to the handling of Hate Speech. Crucially, it provides flexible options for obtaining a more justifiable balance between freedom of expression and appropriate censorship.

Social Media has become an important source for information about people and real-world events. Its importance is driven largely by the enormous number of people generating and updating content in Social Media platforms. In this report, we measure the extent to which we can accurately measure the salience of topics/concepts that might be of interest to an analyst, and evaluate whether concepts like positive and negative sentiment can be meaningfully extracted from Social Media content. As a test case, we examined Twitter content generated by female users who are sympathetic to the Islamic State in Iraq and Syria (ISIS). The basic technique proposed here can be developed further to create a more fine-grained exanimation of Social Media content.

VOX-Pol Blog Post.