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In recent years, most international studies on hate speech online have focused on the three platforms traditionally considered the most influential: Facebook, YouTube and Twitter. However, their predominance as the biggest international social networks is no longer uncontested. Other networks are on the rise and young users especially lose interest in the ‘old’ platforms. In April 2019, Instagram had more active accounts globally than Twitter and came fifth in terms of global page impressions, after Facebook, Pinterest, Twitter and YouTube. Additionally, recent studies into the social media use of minors and young adults showed that Instagram is more important than Facebook to users younger than 30 in several countries. Since hate groups and extremists move their propaganda to the channels where they can reach their target audience most easily, it is important to take those changes in the social media landscape into consideration. Facebook, Twitter, YouTube and Instagram are all parties to the Code of Conduct on countering illegal hate speech online, established by the European Commission in 20164, agreeing to take stronger and swifter action against hate speech on their platforms. Google+ has also joined the Code of Conduct in 2018. However, as the network was shut down in April 2019, it is no longer included in this analysis. As hate speech moderation increases on the major social media platforms, hate groups and extremists turn to other networks where community guidelines against hate speech are less strictly enforced. Some of those alternative platforms, like VK.com or Gab.ai, have acquired a broad international audience and are considered ‘safe havens’ by far-right or right-wing extremist activists. Other platforms have a more local audience or are only relevant in specific countries. This analysis offers an overview of the most prevalent social media platforms and websites used for disseminating hate speech in the countries of the sCAN project partners.

We are on the cusp of a “Big Data” Revolution, in which increasingly large datasets are mined for important predictions and often surprising insights. The predictions and decisions this revolution will enable will transform our society in ways comparable to the Industrial Revolution. We are now at a critical moment; big data uses today will be sticky and will settle both default norms and public notions of what is “no big deal” regarding big data predictions for years to come.
This paper argues that big data, broadly defined, is producing increased powers of institutional awareness and power that require the development of a Big Data Ethics. We are building a new digital society, and the values we build or fail to build into our new digital structures will define us. Critically, if we fail to balance the human values that we care about, like privacy, confidentiality, transparency, identity and free choice with the compelling uses of big data, our Big Data Society risks abandoning these values for the sake of innovation and expediency.

VOX-Pol Blog Post.

VOX-Pol Blog Post.

Algorithms and especially recommendation algorithms play an important role online, most notably on YouTube. Yet, little is known about the network communities that these algorithms form. We analyzed the channel recommendations on YouTube to map the communities that the social network is creating through its algorithms and to test the network for homophily, that is, the connectedness between communities. We find that YouTube’s channel recommendation algorithm fosters the creation of highly homophilous communities in the United States (n = 13,529 channels) and in Germany (n = 8,000 channels). Factors that seem to drive YouTube’s recommendations are topics, language, and location. We highlight the issue of homophilous communities in the context of politics where YouTube’s algorithms create far-right communities in both countries.

This chapter explores the intersection of white and male supremacy, both of which misrepresent women as genetically and intellectually inferior and reduce them to reproductive and/or sexual functions. The white power movement historically has been characterized by sexism and misogyny, as evidenced by the movement’s attempts to retain European heritage and maintain whiteness by policing the behavior and controlling the bodies of white women. However, the influence of white supremacist discourses on physically violent manifestations of the male supremacist movement remains largely understudied. Using supervised machine learning, we compare a corpus of violent male supremacist manifestos and other multimodal content with highly influential white nationalist texts and the manifestos of violent white supremacists to identify the shared beliefs, tropes and justifications for violence deployed within.