When is a Crisis Realy a Crisis? Using NLP and Corpus Linguistic Methods to Reveal Diferences in Migration Discourse Acros Czech Media

Ondřej Pekáček, Irene Elmerot
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Abstract

Abstract This article presents an interdisciplinary analysis of discourses on refugees, asylum seekers, immigrants, and migrants (RASIM) in mainstream and alternative media in the Czech Republic. Using techniques from corpus linguistics (CL) and natural language processing (NLP) and drawing on insights from media sociology, we demonstrate the value of an interdisciplinary approach for conducting robust research that can inform policymakers and media practitioners. Our analysis of nearly one million documents from January 2015 to February 2023 reveals distinctive terms and phrases used by alternative media, highlighting the growing divergence between the mainstream and alternative media discourse and its intensity over different periods. These findings have implications for understanding the mobilization of anti-systemic groups, particularly those on the far right.
何时危机才是真正的危机?利用 NLP 和语料库语言学方法揭示捷克媒体中移民话语的差异
摘要 本文对捷克共和国主流媒体和另类媒体中有关难民、寻求庇护者、移民和移民(RASIM)的论述进行了跨学科分析。我们利用语料库语言学(CL)和自然语言处理(NLP)的技术,并借鉴媒体社会学的见解,展示了跨学科方法在开展可为政策制定者和媒体从业人员提供信息的稳健研究方面的价值。我们对 2015 年 1 月至 2023 年 2 月的近 100 万份文档进行了分析,揭示了另类媒体使用的独特术语和短语,突出了主流媒体和另类媒体话语之间日益增长的分歧及其在不同时期的强度。这些发现对于理解反体制团体,尤其是极右翼团体的动员工作具有重要意义。
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