分析两家豪萨语网络媒体对 COVID-19 大流行病传播的仇恨言论回应

Clifford Irikefe Gbeyonron
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引用次数: 0

摘要

在流行病期间,通过土著语言进行有效沟通是促进每种语言知情权的宝贵手段。不同的在线媒体使用尼日利亚语言传播信息,这些信息可以提高旨在减轻 COVID-19 影响的公共卫生措施的成功率。然而,并非所有受众都积极吸收了这些信息。本研究试图分析《Legit Hausa》和 BBC Hausa 上豪萨语在线新闻的读者对 COVID-19 新闻的评论中仇恨言论的使用情况。为此,我们有目的地对读者的评论进行了取样,并根据礼貌与和平交流的实用原则进行了分析。此外,还使用了系统功能语法来解释所分析的豪萨语评论语言要素的语法特征。研究发现,这些评论不仅充斥着煽动性语言--剥夺了使用者的人性化交流地位--不利于针对 COVID-19 的预防措施,而且能够扩大意见分歧。此外,所分析的大多数评论都无视豪萨语拼写和造句原则。因此,本研究建议语言活动家应始终倡导使用符合语言规范与和平交流原则的尼日利亚语言,从而在控制流行病的过程中减少误导和分裂。
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Analysis of Hate Speech in Responses to Two Hausa Online Media Outlets on the Spread of the COVID-19 Pandemic
Effective communication through the medium of indigenous languages serves as an invaluable instrument that facilitates every language’s right to information during pandemics. Different online media outlets used Nigerian languages to disseminate information that could enhance the success of public health measures targeted at mitigating the impact of COVID-19. However, not all of the audience absorbed the messages positively. This study attempts to analyze the use of hate speech in the comments of readers of Hausa online news items on Legit Hausa and BBC Hausa that responded to news items on COVID-19. To achieve this, the readers' comments were purposively sampled and analyzed based on the pragmatic principles of politeness and peaceful communication. In addition, systemic functional grammar was used to explicate the grammatical features of the analyzed linguistic elements of the comments written in Hausa. It was found that the comments were not only replete with inflammatory language – stripping the users of the status of communicative humanizer – inimical to preventive measures against COVID-19 but also capable of widening the opinion divide. Furthermore, most comments analyzed flout the principles of Hausa spelling and sentence construction. The study thus recommends that linguistic activists should consistently advocate for the use of Nigerian languages that conform to linguistic norms and the principles of peaceful communication that would curtail misinformation and division in the course of pandemic control.
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