分析右翼与极右翼推文中的移民话语，揭示其煽动性策略。
The "Right" Discourse on Migration: Analysing Migration-Related Tweets in Right and Far-Right Political Movements
- 结合语言学与社会学方法，用NLP分析英法语极右推文
- 发现极右翼通过移民议题构建仇恨话语与动员话术
- 适合关注政治传播、社交媒体与极端主义的研究者
欧洲右翼民粹主义的兴起凸显了分析社交媒体话语以理解极端思想传播及其对政治影响的重要性。推特作为互动与动员平台，为观察极右翼支持者日常交流提供了独特窗口。本文提出一种融合先进自然语言处理技术与社会学洞察的方法，分析英文与法语极右翼推文语料库（MIGR-TWIT），旨在揭示围绕移民、仇恨言论及说服技巧的论述模式。通过整合语言学、社会学与计算方法，本研究提供跨学科视角，增进对社交媒体上右翼极端主义所带来当代挑战的理解。
原文摘要 · Abstract (English)
The rise of right-wing populism in Europe has brought to the forefront the significance of analysing social media discourse to understand the dissemination of extremist ideologies and their impact on political outcomes. Twitter, as a platform for interaction and mobilisation, provides a unique window into the everyday communication of far-right supporters. In this paper, we propose a methodology that uses state-of-the-art natural language processing techniques with sociological insights to analyse the MIGR-TWIT corpus of far-right tweets in English and French. We aim to uncover patterns of discourse surrounding migration, hate speech, and persuasion techniques employed by right and far-right actors. By integrating linguistic, sociological, and computational approaches, we seek to offer cross-disciplinary insights into societal dynamics and contribute to a better understanding of contemporary challenges posed by right-wing extremism on social media platforms.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。