A multimodal discourse analysis of Covid-19 posters in Tanzania
The case of the University of Dar es Salaam
Bibliographic Data
| ID | 21757200 |
|---|---|
| Authors | Godfrey Francis Muganda (0009-0004-8657-2858, University of Dar es Salaam, corresponding author) |
| Year | 2024 |
| Volume | 42 |
| Issue | 3 |
| Pages | 433-446 |
| Publication date | 2024-09-20 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Southern African Linguistics and Applied Language Studies (JOURNAL) |
| Journal identifiers | ISSN: 1607-3614 • E-ISSN: 1727-9461 |
| Publisher | National Inquiry Services Center (NISC) (PUBLISHER) |
| DOI | 10.2989/16073614.2023.2288059 |
| OpenAlex | W4400653352 |
| Language | EN |
| Citations received | 1 |
| References cited | 33 |
This article analyses the multimodal discourse in COVID-19 posters at the University of Dar es Salaam, Tanzania. Kress and Van Leeuwen’s grammar of visual design was used to analyse the data. The findings indicate that representational, interactive and compositional meanings were combined in the creation of the COVID-19 posters. Specifically, representational meanings appeared in the form of participants, processes and circumstances. The interactive meanings were revealed in social contact, social distance, perspective and modality. The compositional meanings were represented in information value, salience and framing. Generally, the integration of various sub-meanings emanating from the major three groups of meanings (representational, interactive and compositional) in the posters provided clear and easy-to-understand information regarding COVID-19 health protocols. Moreover, the combination of both verbal and visual texts in a single poster results in each complementing the other in the provision of information to the viewers
2019-20 coronavirus outbreak · Dar es salaam · Geography · Political science · Socioeconomics · Sociology · Tanzania · Digital Storytelling and Education · Discourse Analysis in Language Studies · Literacy, Media, and Education · Medicine · Virology
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |