Abstract
Dehumanisation involves the perception and or treatment of a social group's members as less than human. This phenomenon is rarely addressed with computational linguistic techniques. We adapt a recently proposed approach for English, making it easier to transfer to other languages and to evaluate, introducing a new sentiment resource, the use of zero-shot cross-lingual valence and arousal detection, and a new method for statistical significance testing. We then apply it to study attitudes to migration expressed in Slovene newspapers, to examine changes in the Slovene discourse on migration between the 2015-16 migration crisis following the war in Syria and the 2022-23 period following the war in Ukraine. We find that while this discourse became more negative and more intense over time, it is less dehumanising when specifically addressing Ukrainian migrants compared to others.
Abstract (translated)
翻译：非人化是指将社会群体成员视为低于人类的现象。这种现象很少通过计算语言技术来解决。我们适应了一个最近提出的英语方法，使其更容易转移到其他语言和评估，并引入了一个新的情感资源——零距离跨语言情感检测和统计显著性测试，以及一种新的方法用于统计显著性测试。然后将其应用于研究斯洛文尼亚报纸上表达的针对移民的态度，探讨了2015-16年叙利亚战争后斯洛文尼亚言论中关于移民的论述在2022-23年乌克兰冲突后期的变化。我们发现，尽管这一论述在随着时间的推移而变得更加负面和强烈，但当具体针对乌克兰移民时，它并不算非人类化。
URL
https://arxiv.org/abs/2404.07036
