Hate Speech

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 ...

In this article, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to identify antisemitic content to reveal patterns of online antisemitism perpetration at the source. We built statistical models to ...

2016 is the first year of the implementation of the sustainable development goals. A renewed emphasis on a Human Rights-Based Approach to all forms of development is apt and timely. While migration and peace building as development challenges are not new to humankind, the world is faced with ongoing wars and conflicts as well as ...

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 ...

This paper presents a review of intervention programmes against cyberhate. Over the last decade, the preoccupation over the use of electronic means of communication as a tool to convey hate, racist and xenophobic contents rose tremendously. NGOs, legal professionals, private companies, and civil society have developed interventions but little is known about their impact. For ...

With the spread of social networks and their unfortunate use for hate speech, automatic detection of the latter has become a pressing problem. In this paper, we reproduce seven state-of-the-art hate speech detection models from prior work, and show that they perform well only when tested on the same type of data they were trained ...

This article examines the discursive practices of Facebook users who use the platform to express racist views. We analyzed 51,991 public comments posted to 119 news stories about race, racism, or ethnicity on the Canadian Broadcasting Corporation News Facebook page. We examined whether users who hold racist viewpoints (the vocal minority) are less likely to ...

Fear is one of the negative outcomes of terrorist attacks. Currently, there is a need to understand how societal fear and fear of terrorism might be shaped and induced by social-media discussions. This study analyzed how exposure to cyberhate was associated with perceived societal fear after the November 2015 Paris terrorist attacks. Demographically balanced data ...

Germany’s Network Enforcement Act, or NetzDG law represents a key test for combatting hate speech on the internet. Under the law, which came into effect on January 1, 2018, online platforms face fines of up to €50 million for systemic failure to delete illegal content. Supporters see the legislation as a necessary and efficient response ...

Social media and the Internet play an important role in the proliferation of hateful and extreme speech. Looking to contemporary networks of digitally mediated extreme right-wing communication, this essay explores the form, dynamics, and potential governance of digital hate culture. It focuses on the cultural practices and imagination present in the networks of digital hate ...