Thematic analysis of in-group and out-group debates in an online right-wing extremist community

Abstract

The resurgence of Right-Wing Extremism (RWE) has become a cause for concern in Western countries during the 21st century. An increase in white nationalist sentiment in recent years has provided impetus to understand the contemporary drivers of far-right ideology. This study examines in-group and out-group debates on Stormfront.org, which is the largest and oldest online community dedicated to white nationalism and extreme right-wing political views. It used a dataset of approximately 1m posts collected from the open Opposing Views forum on Stormfront from the period 2001 to 2020 to create a corpus of over 195m words for thematic analysis. A Natural Language Processing (NLP) model was used to analyze the corpus, and a supervised phrase mining algorithm was used to identify key topics in the debate. The study finds that key issues being debated between in-group and out-group members of the Stormfront online community relate to perceptions of white identity, African American identity, racial issues, conservative political issues, and the history and politics of the United States. These findings highlight the issues of mutual importance to in-group and out-group members and identify opportunities for further research into the ideology of online RWE communities.