Understanding discourse and language of risk

公共领域 代表(政治) 社会化媒体 语言学 政府(语言学) 语料库语言学 社会学 资源(消歧) 公共关系 计算机科学 数据科学 政治学 政治 人工智能 法学 哲学 万维网 计算机网络
作者
Jens O. Zinn,Marcus Müller
出处
期刊:Journal of Risk Research [Routledge]
卷期号:25 (3): 271-284 被引量:13
标识
DOI:10.1080/13669877.2021.2020883
摘要

Understanding risk communication in the public sphere is important for risk studies since the management of risk not only requires decision makers and experts to communicate risk well but also to understand how risk is debated in the public sphere more broadly. This special issue therefore discusses approaches which examine the linguistic representation of risk in text and how it changes over time. With the increasing body of digitised text available for research, scholars are now able to use advanced quantitative content analysis, text mining technologies, and corpus linguistic computational tools for the analysis of large text corpora. These advancements are also useful for risk studies and social science research. Specifically, the news media and other bodies of large text (corpora) built from, for example, parliamentary debate, social media, or government websites, have become a valuable resource for the analysis of language and discourse of risk which can be used to better understand the dynamics of risk communication in the public sphere. The contributions exemplify different research strategies by means of a number of case studies (e.g. terrorism, obesity, fracking, climate change, pre-exposure prophylaxis, migration as well as diachronic analysis of the use of risk in parliamentary debate and news coverage) and discuss key aspects of applying such research tools. This introduction outlines the central features of different ways to approach risk through discourse and language, before highlighting unresolved issues and the prospects for research and methodology of corpus-based risk studies and, finally, introducing the contributions.
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