Online Library

Seit 2018 nahm mit den Anschlägen von Pittsburgh, Christchurch, Poway, El Paso, Bærum und Halle eine neue Form des Rechtsterrorismus an Fahrt auf, dessen Modus Operandi aus drei untrennbar miteinander verbundenen Akten besteht: Erstens, ein rassistisches Schriftstück auf einem Imageboard posten, das rechtsextreme Inhalte in nihilistischen Memes verpackt. Zweitens, eine Zielgruppe mit Waffengewalt angreifen, dabei möglichst viele Menschen töten und die Tat live im Internet streamen. Drittens, zur Imitation aufrufen, indem alle Informationen zur Tat leicht zugänglich gemacht werden, damit eine breite Öffentlichkeit (aus Sympathie oder Sensationslust) Videosequenzen und Bilder der Tat reproduziert und das Werk der Täter veredelt.

Combating ISIS Online Panelists talked about *ISIS’ use of the Internet and social media to recruit supporters. They also addressed the U.S. government’s efforts to combat the terror group online. Other topics included whether internet and social media companies should be forced to identify and/or ban those suspected of promoting terror.

The Islamic State of Iraq and Syria (ISIS), the Islamic State of Iraq and the Levant (ISIL), or DAISH/DAESH in Arabic is a militant group that has called itself the Islamic State.

VOX-Pol Blog post.

VOX-Pol Blog post.

VOX-Pol Blog post.

The Islamic State in Iraq and Syria (ISIS), like no other terrorist organization before, has used Twitter and other social media channels to broadcast its message, inspire followers, and recruit new fighters. Though much less heralded, ISIS opponents have also taken to Twitter to castigate the ISIS message. This report draws on publicly available Twitter data to examine this ongoing debate about ISIS on Arabic Twitter and to better understand the networks of ISIS supporters and opponents on Twitter. To support the countermessaging effort and to more deeply understand ISIS supporters and opponents, this study uses a mixed-methods analytic approach to identify and characterize in detail both ISIS support and opposition networks on Twitter. This analytic approach draws on community detection algorithms that help detect interactive communities of Twitter users, lexical analysis that can identify key themes and content for large data sets, and social network analysis.