Accepted for/Published in: Interactive Journal of Medical Research
Date Submitted: Sep 25, 2023
Open Peer Review Period: Sep 25, 2023 - Oct 9, 2023
Date Accepted: Feb 27, 2024
(closed for review but you can still tweet)
Visual ‘scrollytelling’: Mapping aquatic selfie-related incidents in Australia
ABSTRACT
Selfies are a ubiquitous aspect of modern culture, with millions shared on social media platforms daily. However, the increasing prevalence of selfie-related incidents, including injuries and fatalities, impacts emergency medicine and retrieval services. The project leverages the power of the scrollama library (JavaScript) and the Mapbox API, as well as a basic, media-derived, dataset to explore selfie-incidents at aquatic locations in Australia. Using publicly available media reports, and a Wikipedia database of selfie-related incidents worldwide, a spreadsheet was populated containing information on type of incident, longitude and latitude, and corresponding media report. This enabled the incidents to be plotted using Mapbox Studio and the resulting data plotted as an interactive visualisation that updates with every user scroll. A publicly accessible visual representation of selfie-related incidents may be of use to emergency services and retrieval personnel who must navigate difficult terrain in the performance of their duty.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.