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Comics in the time of COVID-19: Tracking data on web-based comics and evaluating their potential for communicating public health messages

COVID-19 时期的漫画：跟踪网络漫画数据并评估其传播公共卫生信息的潜力

基本信息

批准号：
AH/V012614/1
负责人：
Anna Feigenbaum
金额：
$ 7.9万
依托单位：
Bournemouth University
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2020
资助国家：
英国
起止时间：
2020 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=AH%2FV012614%2F1
关键词：
Comics time COVID 19 Tracking

项目摘要

Our pandemic lives are deeply entwined with visual, web-based public health messages, from instructional hand-washing pictograms to infographics about physical activity during lockdowns. Alongside these official public health communications, people are creating thousands of web-based comics conveying public health messages.It is critical that we collect and code these comics now. As ephemeral, web-based artefacts we risk losing access to thousands of these creations and their specific circulation contexts. Capturing and coding this data now will allow us to rapidly track their messages, reach and engagement. In particular, focusing on web-comics from the first 6 months of the pandemic, we will be able to evaluate the impacts and potentials of producing and circualting time-sensitive public health messages via the comics medium across social media platforms.Capturing these web-comics' reach and engagement on digital platforms will also yield insight into how public health messages are shared and interpretted on social media, as well as into how behavioral change is championed and resisted. Coding will be done through a qualitative content analysis of comics' narratives and visuals, as well as an analysis of social media comments, allowing us to evaluate for evidence of behavioural change and real-time resilience-building in relation to public health guidelines.To maximise the impact of this resource on beneficiaries, key stakeholders from the Graphic Medicine Collective, Information Literacy Group, and Public Health Dorset will help shape data collection and analysis.Research data will be stored on BU's secure cloud service and on external hard drives. The final, deliverable dataset will be in Excel and CSV formats, compatible with web interface, database and digital cataloguing for ease of adaptation for future activities.

我们的大流行生活与基于网络的可视化公共卫生信息紧密相连，从指令性的洗手象形图到关于封锁期间身体活动的信息图表。除了这些官方的公共卫生通讯外，人们还在网上创作成千上万的漫画，传达公共卫生信息。现在收集和编码这些漫画是至关重要的。作为短暂的、基于网络的人工制品，我们冒着失去成千上万的这些创作及其特定循环环境的风险。现在捕获和编码这些数据将使我们能够快速跟踪他们的信息、覆盖面和参与度。我们特别关注大流行前6个月的网络漫画，将能够评估通过漫画媒介在社交媒体平台上制作和传播具有时效性的公共卫生信息的影响和潜力。捕捉这些网络漫画在数字平台上的影响力和参与度，也将有助于深入了解公共卫生信息是如何在社交媒体上分享和解释的，以及行为改变是如何得到支持和抵制的。编码将通过对漫画叙事和视觉效果的定性内容分析以及对社交媒体评论的分析来完成，使我们能够评估与公共卫生准则有关的行为改变和实时复原力建设的证据。为了最大限度地提高这一资源对受益者的影响，来自图形医学集体、信息素养小组和多塞特公共卫生的主要利益相关者将帮助形成数据收集和分析。研究数据将存储在BU的安全云服务和外部硬盘驱动器上。最终可交付的数据集将采用Excel和CSV格式，与网络界面、数据库和数字编目兼容，以便于适应未来的活动。