Tong, J. orcid.org/0000-0001-6843-3177 (2024) Diagrammatic thinking and audience reading of COVID-19 data visualisations: a UK case study. Convergence: The International Journal of Research into New Media Technologies. ISSN 1354-8565
Abstract
This article examines whether, how, and to what extent eighteen UK audience participants developed diagrammatic thinking while reading eleven COVID-19 data visualisations published by UK newspapers. Despite data visualisations being a prominent feature in COVID-19 news coverage, audience perception of data visualisations is a relatively new field of study. This study reveals the presence of Stuart Hall’s three types of reading (dominant, opposition or negotiated reading) in the participants’ reading, with the prominent role played by their reflections and the influence cast by their levels of data literacy and familiarity with terminologies. As an experience of reflection and reflexivity, reading data visualisations prompted the participants to rethink the pandemic-related issues posed in data visualisations and reflect on their personal experiences and views. Their reflections confirmed or developed their understanding of these issues or led them to reject the message they perceived. This process suggests their diagrammatic thinking is in practice.
Metadata
Item Type: | Article |
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Authors/Creators: | |
Copyright, Publisher and Additional Information: | © 2024 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Diagrammatic thinking; UK audiences; COVID-19 data visualisations; reflections; data literacy; audience reception; decoding and encoding |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Journalism Studies (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Jan 2025 15:23 |
Last Modified: | 15 Jan 2025 15:23 |
Published Version: | https://doi.org/10.1177/13548565241309886 |
Status: | Published online |
Publisher: | SAGE Publications |
Refereed: | Yes |
Identification Number: | 10.1177/13548565241309886 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:221313 |