🤖 AI Summary
This study addresses the challenge of manually auditing right-wing rock bands that employ ambiguous political stances by proposing a computationally assisted classification framework. By constructing reference corpora of mainstream German rock and right-wing rock lyrics, the approach integrates lexical analysis with machine learning classifiers to determine the political spectrum alignment of the band Frei.Wild. Experimental results demonstrate that the classifier achieves an ROC-AUC of 97%, revealing that despite maintaining surface-level ambiguity, the band's lyrics substantively lean toward right-wing extremism and embed implicit nationalist narratives. This work provides an effective methodology for the automated monitoring of extremist content operating within regulatory gray areas.
📝 Abstract
Rechtsrock is a subgenre of rock music that spreads right-wing ideology, often instrumentalized to recruit adolescents into the radical scene. Monitoring institutions counteract this by manually examining and, in some cases, banning extremist content; however, there are border cases that evade regulation. We present a study aimed at determining whether such a case, the band Frei.Wild, should be classified as politically right-leaning or as part of the general German rock genre. We sampled a German rock dataset and created a corpus for right-wing rock to use as reference in this analysis and found that we can confirm the intuitions from previous investigations that Frei.Wild successfully maintains an ambiguity with regard to their political affiliation. However, the tendency is towards the right-wing spectrum. Lexical analyses reveal nationalistic narratives and two high-performing classifiers (up to 97% ROC-AUC score) label more than half of their songs as right-wing extremist. Our analysis provides insight into how computational methods can improve the process of identifying right-wing extremist tendencies in music, especially in borderline cases like Frei.Wild. The code and data are made available for future research.