Online Library

Recent elections in Europe have demonstrated a steady rise in the success of right-wing populist parties. While advancing an anti-immigration agenda, these parties have been adamant to distance themselves from ‘right-wing extremism’. This article analyses a sample of tweets collected from the Twitter accounts of the German AfD, Identitarian Movement and the Autonomous Nationalists by employing frame analysis. We conclude that the frames of far-right actors classified as extremist, New Right, and populist in fact converge and we discuss our findings in the context of related case studies in other European countries.

Ziel dieser Arbeit ist es, die Überschneidungen in der Rechtsaußenszene auf Twitter zu ermitteln und insbesondere festzustellen, inwieweit verschiedene Gruppen in der Szene tatsächlich auf die gleiche Weise über dieselben Themen sprechen, trotz offensichtlicher Unterschiede im Tonfall und den zugrunde liegenden Ideologien. Wir verwenden einen Mischmethodenansatz: Zunächst wollen wir einen oberflächlichen Einblick in die extrem rechte Szene auf Twitter in ganz Europa gewinnen, und dann führen wir bei drei ausgewählten Gruppen in Deutschland eine detaillierte Frame-Analyse aus, um die impliziten und expliziten Überschneidungen zwischen ihnen zu bestimmen und so die quantitativen Angaben zu ergänzen, damit die Bedeutung detailliert analysiert werden kann.

The aim of the report is to determine the overlaps apparent in the far-right scene on Twitter, and specifically, to ascertain the extent to which different groups on the scene are indeed talking about the same issues in the same way, in spite of apparent differences in tone and underlying ideologies. The authors utilise a mixed-methods approach: first, gaining a cursory insight into the extreme right-wing scene on Twitter across Europe; and then applying a detailed frame analysis to three selected groups in Germany to determine the implicit and explicit overlaps between them, thus complementing the quantitative findings to offer an in-depth analysis of meaning.

This research centred on three layers of analysis: Firstly, understanding
the keywords, or search terms, people use to
find information on Google; secondly, looking at the data
demonstrating links going into a selection of known extremist
websites in order to understand their relationships
with other websites;
and thirdly, analysing the content of
Google search results pages to understand the placement of extremist and counter-narrative content within search results for relevant keywords. The areas of analysis represent
important aspects related to the broader internet and,
when combined, gave the opportunity to get a snapshot of
extremist content beyond the realm of social media.

The results produced by this multi-faceted approach provide
an overview of extremist content online and shed
much-needed light on the impact and effectiveness of online
counter-narrative efforts.

Identification and classification of extremist-related tweets is a hot issue. Extremist gangs have been involved in using social media sites like Facebook and Twitter for propagating their ideology and recruitment of individuals. This work aims at proposing a terrorism-related content analysis framework with the focus on classifying tweets into extremist and non-extremist classes. Based on user-generated social media posts on Twitter, we develop a tweet classifcation system using deep learning-based sentiment analysis techniques to classify the tweets as extremist or non-extremist. The experimental results are encouraging and provide a gateway for future researchers.

Studien påvisar bland annat att det finns oändliga möjligheter att använda sig av den digitala arenan i förhållande till förebyggande arbete, samt att integreringen av den digitala arenan är ytterst centralt för att på ett effektivt sätt kunna förebygga och motverka just extremism och våldsbejakande extremism. Detta då en stor del av extremistiska aktörers aktiviteter i dagsläget sker just online, samt då det är tydligt att online- och offlinedimensionen inte kan separeras funktionellt. Det konstateras dock att flera av de befintliga initiativ som studeras främst tenderar att existera som isolerade företeelser, snarare än att exempelvis utgöra en del av en omfattande nationell handlingsplan samt strategi i relation till det förebyggande arbetet mot extremism och våldsbejakande extremism. Trots att det alltså existerar ett flertal intressanta projekt och initiativ med potential att eventuellt kunna integreras och användas i större utsträckning är det i dagsläget både spretigt och fragmenterat – både nationellt och internationellt.