Language in a pandemic: A multimodal analysis of social media representation of COVID-19

IF 1 4区 文学 Q3 COMMUNICATION Journal of African Media Studies Pub Date : 2022-03-01 DOI:10.1386/jams_00062_1
O. Adebomi
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引用次数: 2

Abstract

Since COVID-19 was declared a pandemic by the World Health Organization on 11 March 2020, it has become a source of worry across countries within the global space. It has posed not only a health challenge but also an economic and a linguistic burden. Linguistic burden because many efforts are being made by stakeholders to appropriately represent or codify the manifestations of the disease in unambiguous and understandable terms. Hence, one of the major platforms where COVID-19 has been variously represented is the social media. This study, therefore, focuses on a multimodal analysis of the representation of the COVID-19 pandemic on two social media platforms: Facebook and WhatsApp. The study adopts Kress’s social semiotic model as theoretical framework. This model explains the meaning affordances of verbal and non-verbal semiotic resources. It examines communicators’ intentions and makes meanings through multiple semiotic modes. This model is adopted because it offers a sociological perspective to the interpretation of visual texts. Twenty-five semiotic resources comprising memes and flash headlines, which were purposively sourced from Facebook and WhatsApp over a period of twelve weeks between April and July 2020, were analysed in the study. The data were subjected to both pictorial and simple descriptive linguistic analysis. The study reveals that COVID-19 memes extend economic and social concerns in Nigeria. The semiotic resources expose social problems such as poverty, insecurity and inequality in the Nigerian society which pose a threat to strict adherence to safety measures; and establish the manifestation of religion and gender issues in COVID-19 debates. Furthermore, it provides informative-cum-instructional functions in the fight against COVID-19. The study suggests that the deployment of appropriate linguistic and extralinguistic codes could guarantee effective and targeted public health enlightenment on COVID-19.
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大流行中的语言:对COVID-19社交媒体表征的多模态分析
自2020年3月11日世界卫生组织宣布2019冠状病毒病为大流行以来,它已成为全球各国担忧的根源。它不仅构成健康挑战,而且构成经济和语言负担。语言负担,因为利益攸关方正在作出许多努力,以明确和可理解的术语适当地代表或编纂疾病的表现。因此,社交媒体是新型冠状病毒传播的主要平台之一。因此,本研究侧重于对COVID-19大流行在两个社交媒体平台(Facebook和WhatsApp)上的表现进行多模式分析。本研究采用克雷斯的社会符号学模型作为理论框架。该模型解释了语言和非语言符号资源的意义支持性。它通过多种符号学模式来考察交际者的意图和意义。这一模式之所以被采用,是因为它为视觉文本的解读提供了社会学的视角。该研究分析了包括模因和闪光标题在内的25种符号资源,这些资源是在2020年4月至7月的12周内有目的地从Facebook和WhatsApp获取的。对数据进行了图像分析和简单的描述性语言分析。该研究表明,COVID-19表情包扩大了尼日利亚的经济和社会担忧。符号学资源暴露了尼日利亚社会的贫困、不安全和不平等等社会问题,这些问题对严格遵守安全措施构成威胁;并在COVID-19辩论中确立宗教和性别问题的体现。此外,它还为抗击COVID-19提供信息和指导功能。研究表明,适当的语言和语言外代码的部署可以确保有效和有针对性的公共卫生启蒙。
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来源期刊
CiteScore
1.80
自引率
25.00%
发文量
21
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