发表机构
Heinrich Heine University Düsseldorf; University of Florida（海因里希·海涅大学杜塞尔多夫; 佛罗里达大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过计算语言学方法分析德国乐队Frei.Wild的歌词，发现其政治归属模糊但偏向右翼，分类器标记过半歌曲为右翼极端，展示了计算方法在识别音乐极端倾向中的价值。
AI 中文摘要
Rechtsrock（右翼摇滚）是摇滚音乐的一个子类型，传播右翼意识形态，常被利用来招募青少年进入激进圈子。监管机构通过人工审查并在某些情况下禁止极端内容来应对这一问题；然而，存在一些逃避监管的边界案例。我们提出了一项研究，旨在确定这样一个案例——乐队Frei.Wild——是否应被归类为政治上偏右，还是属于德国摇滚乐的一般类型。我们采样了一个德国摇滚数据集，并创建了一个右翼摇滚语料库作为本分析的参考，发现我们可以证实先前调查的直觉，即Frei.Wild成功地在其政治归属方面保持了模糊性。然而，其倾向偏向于右翼光谱。词汇分析揭示了民族主义叙事，两个高性能分类器（ROC-AUC分数高达97%）将其一半以上的歌曲标记为右翼极端。我们的分析提供了关于计算方法如何改进识别音乐中右翼极端倾向过程的见解，尤其是在像Frei.Wild这样的边界案例中。代码和数据已公开，供未来研究使用。
英文摘要
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.
Comments20 pages, 9 figures, for code and data see https://zenodo.org/records/22676753, to be published in the proceedings of the NLP 4 Positive Impact workshop at EMNLP 2026
