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The Internet is often singled out as the key means through which extremists and terrorists are radicalised. Yet, argue Charlie Edwards and Luke Gribbon, research thus far has fallen short of unearthing the actual mechanisms through which this radicalisation takes place. Using examples from a wider study, they explore different ways in which individuals have used the Internet in their processes of radicalisation and point out that policy-makers and researchers need to focus their efforts on understanding not merely the content that is available online, but the ways in which this content is used in the process of radicalisation.

Feminist journalists have come to expect special resistance, and even threats, from men’s groups as part of their work as journalists. However, the biggest threats might not originate in men’s groups’ activities. A big threat currently comes from Internet trolls’ responses to individuals who engage in hate‐provoked and hate‐provoking attacks on women as women. This is exemplified in the case of Anders Behring Breivik, who blew up government buildings in Oslo in 2011 and murdered youth from the Labour Party at Utøya as part of his explicitly articulated xenophobic and misogynist campaign against the Islamification of Norway. His ideas are still being shared in social media responses to this tragedy across Nordic countries. This paper argues that this demonstrates that the harms to women and to society go well beyond the individual victims of an identifiable incident. Largely because of their role in condemning and rejecting the hateful ideas advanced across social media forums, troll responses to the Breivik tragedy constitute a particular threat to female and especially feminist journalists.

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.

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 to the threat of online hatred and extremism. Critics view it as an attempt to privatise a new ‘draconian’ censorship regime, forcing social media platforms to respond to this new painful liability with unnecessary takedowns. This study shows that the reality is in between these extremes. NetzDG has not provoked mass requests for takedowns. Nor has it forced internet platforms to adopt a ‘take down, ask later’ approach. At the same time, it remains uncertain whether NetzDG has achieved significant results in reaching its stated goal of preventing hate speech. This paper begins by explaining the background that led to the development and passage of NetzDG. It examines the reaction to the law by civil society, platforms and the government. It concludes with suggestions, for platforms, civil society and the authorities, on ways to improve the law to be effective in the fight against online hate while keeping the internet open and free.

The Strong Cities Network (SCN) conducted an online mapping exercise to investigate the main extremist narratives deployed in North Macedonia. Using a mixed method of automated collection and expert manual qualitative online research, SCN identified the main narratives across political, ethnic and religiously inspired extremist and hate groups. On the basis of these findings, SCN provided a comprehensive set of recommendations for national government, local authorities, civil society and the private tech sector to help inform a more comprehensive response to these online harms. The findings from this study will also inform multi-agency work the network is carrying out with the community.

Noon Briefing by Stephanie Dujarric, Spokesman for the Secretary General