Orphanou, K., Christoforou, E., Otterbacher, J. et al. (2 more authors) (2021) Preserving the memory of the first wave of COVID-19 pandemic: Crowdsourcing a collection of image search queries. In: Proceedings of the Third symposium on Biases in Human Computation and Crowdsourcing. Third symposium on Biases in Human Computation and Crowdsourcing (BHCC 2021), 10-12 Nov 2021, Delft, Netherlands (Online). CEUR Workshop Proceedings
Abstract
The unprecedented events of the COVID-19 pandemic have generated an enormous amount of information and populated the Web with new content relevant to the pandemic and its implications. Visual information such as images has been shown to be crucial in the context of scientific communication. Images are often interpreted as being closer to the truth as compared to other forms of communication, because of their physical representation of an event such as the COVID-19 pandemic. In this work, we ask crowdworkers across four regions of Europe that were severely affected by the first wave of pandemic, to provide us with image search queries related to COVID-19 pandemic. The goal of this study is to understand the similarities/differences of the aspects that are most important to users across different locations regarding the first wave of COVID-19 pandemic. Through a content analysis of their queries, we discovered five common themes of concern to all, although the frequency of use differed across regions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). See: http://creativecommons.org/licenses/by/4.0. |
Keywords: | Image; Pandemic information; Proprietary search; Crowdsourcing |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Funding Information: | Funder Grant number European Commission - HORIZON 2020 810105 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 02 Dec 2021 08:03 |
Last Modified: | 03 Dec 2021 08:19 |
Published Version: | https://www.bhcc-symposium.com/program/accepted-pa... |
Status: | Published online |
Publisher: | CEUR Workshop Proceedings |
Refereed: | Yes |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:180974 |