Coronavirus Discourses: Linguistic Evidence For Effective Public Health Messaging

冠状病毒话语：有效公共卫生信息的语言证据

• 批准号: AH/V015125/1
• 负责人: Svenja Adolphs
• 金额: $ 46.52万
• 依托单位: University of Nottingham
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=AH%2FV015125%2F1
• 关键词: Coronavirus; Discourses; Linguistic; Evidence; Effective

Developed in partnership with Public Health England, Public Health Wales and NHS Education for Scotland, this bid addresses key challenges that the coronavirus pandemic presents in relation to understanding the flow and impact of public health messages as reflected in public and private discourses. Our collaborators above who are charged with constructing effective public health messages have identified two particular challenges: messaging around geographical borders (e.g. between England and Wales, and in local lockdowns) and messaging aimed at BAME populations. These areas will be the focus of our research, and we will deliver benefits to our collaborators in the form of initial analytical results and discussion from month 2 onwards.As human behaviour is shaped by the reception and production of discourse, and by the reasoning about different sources of information, we propose a new approach to track the trajectories of public health messages once they are released to the public. Moving beyond corpus linguistic approaches that focus on language production, we will investigate the complex relationship between the production and the reception of discourses relating to specific types of public health messages, focusing on linguistic patterns (in particular modality and stance markers). Drawing on our track record in the construction and analysis of heterogenous corpora and our ongoing work on privacy enhancing technologies, we propose to carry out the first large scale analysis of the trajectories of public health messages relating to the coronavirus pandemic in the UK.

该项目与英格兰公共卫生部、威尔士公共卫生部和苏格兰NHS教育部合作开发，解决了冠状病毒大流行在理解公共和私人话语中反映的公共卫生信息的流动和影响方面提出的关键挑战。我们上面负责构建有效公共卫生信息的合作者已经确定了两个特殊的挑战：围绕地理边界（例如英格兰和威尔士之间以及当地封锁）的信息传递和针对BAME人群的信息传递。这些领域将是我们研究的重点，我们将从第二个月开始以初步分析结果和讨论的形式为合作者提供好处。由于人类行为是由话语的接收和产生以及对不同信息来源的推理所塑造的，我们提出了一种新的方法来跟踪公共卫生信息一旦向公众发布后的轨迹。超越语料库语言学方法，专注于语言生产，我们将调查生产和接收有关特定类型的公共卫生信息的话语之间的复杂关系，专注于语言模式（特别是模态和立场标记）。根据我们在构建和分析异质语料库方面的记录，以及我们正在进行的隐私增强技术工作，我们建议对英国与冠状病毒大流行有关的公共卫生信息的轨迹进行首次大规模分析。

项目成果

Public health messaging by political leaders: a corpus linguistic analysis of COVID-19 speeches delivered by Boris Johnson

政治领导人传递的公共卫生信息：鲍里斯·约翰逊 (Boris Johnson) 发表的 COVID-19 演讲的语料库语言分析

• 发表时间: 2021
• 作者: Emma McClaughlin

Using online news comments to gather fast feedback on issues with public health messaging: The Guardian as a case study

使用在线新闻评论收集有关公共卫生信息问题的快速反馈：《卫报》作为案例研究

• 发表时间: 2021
• 作者: Emma McClaughlin

Privacy Preserving Corpus Linguistics: Investigating the Trajectories of Public Health Messaging Online

隐私保护语料库语言学：调查在线公共卫生消息传递的轨迹

• 发表时间: 2022
• 作者: McClaughlin E

Borders in coronavirus discourses: feedback on UK public health messages from readers of online news

冠状病毒话语中的边界：在线新闻读者对英国公共卫生信息的反馈

• 发表时间: 2022
• 作者: Clos J

Public health messaging for at risk populations: a UK-based case study

针对高危人群的公共卫生信息传递：一项基于英国的案例研究

• 发表时间: 2022
• 作者: Barnard P