Multimodality Study on Internet Information Related to Covid-19 Pandemic

Authors

  • Dwi Anggoro Hadiutomo Universitas Airlangga

Keywords:

Internet, Language, Multimodality, Pandemic

Abstract

The Covid-19 pandemic has lasted more than a year and has affected many things including the study in languages. This study e benefits that can be obtained through this research are that in terms of limited data sources and migration, the study of language science can still be carried out. This study takes data sources in the form of announcements related to the Covid-19 pandemic on the internet. Announcements found on the internet are very diverse when we look at them visually and verbally. Furthermore, the data found were examined using a multimodality approach initiated by Kress and Leeuwen to find out how the information was processed and embedded in the announcement so that it could reach the public. This approach explains that a text that has verbal and visual elements simultaneously can not only determine the information based on the words or sentences contained in it. The data is then processed from the point of view of both. The results obtained are then combined to understand the information contained in the data more comprehensively. As a result, this study shows that for information to be properly accessed by the public, good cooperation between verbal and visual elements is needed. Coherence of meaning will be more easily formed and conveyed if the coherence between visual and verbal is well established.

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Published

2021-09-27

How to Cite

Dwi Anggoro Hadiutomo. (2021). Multimodality Study on Internet Information Related to Covid-19 Pandemic. Proceeding of International Conference on Japanese Studies, Language and Education, 2(1), 113-124. Retrieved from http://proceedings.aspbji.id/index.php/icjsle/article/view/44

Issue

Vol. 2 No. 1 (2021): Proceeding of International Conference on Japanese Studies, Language and Education (ICJSLE)

Section

Articles 
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