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Computational methods for climate change frame analysis: Techniques, critiques, and cautious ways forward
WIREs Climate Change ( IF 9.4 ) Pub Date : 2024-06-26 , DOI: 10.1002/wcc.902
Simon David Hirsbrunner 1
Affiliation  

Frame analysis is a popular methodological paradigm to investigate how climate change is reported in the media, how it is negotiated by political actors, and perceived by publics. Its scope of application extends across various academic disciplines and transcends traditional boundaries of research such as those between quantitative and qualitative methods. Recent transformations of the media landscape have a strong influence on how frame analysis is conducted and how it is used to investigate climate change communication. Online data mining and computational methods have now become increasingly mainstream to investigate discursive elements in online media. Scholars have highlighted the potential, but also the risks associated with sophisticated computational methods, such as machine learning, increasingly used in the context of frame analysis. This advanced review gathers the scientific literature on computational frame analysis for analyzing climate change communication and discusses ways of dealing with associated risks and caveats by incorporating ideas from Science & Technology Studies (STS) and other stances of critical scholarship. Recommended ways forward include combining methods, practicing theoretical interdisciplinarity, infrastructuring reflexivity in research constellations, and embracing transparency, documentation, and accessibility of methods.This article is categorized under: The Social Status of Climate Change Knowledge > Sociology/Anthropology of Climate Knowledge Perceptions, Behavior, and Communication of Climate Change > Communication Climate, History, Society, Culture > Technological Aspects and Ideas

中文翻译:


气候变化框架分析的计算方法:技术、批评和谨慎的前进方向



框架分析是一种流行的方法论范式,用于调查媒体如何报道气候变化、政治行为者如何谈判以及公众如何看待气候变化。其应用范围跨越各个学科,超越了传统的研究界限,例如定量和定性方法之间的界限。最近媒体格局的转变对如何进行框架分析以及如何使用框架分析来调查气候变化传播产生了重大影响。在线数据挖掘和计算方法现已成为研究在线媒体中话语元素的日益主流。学者们强调了与复杂的计算方法(例如机器学习)相关的潜力,但也存在风险,这些方法越来越多地用于框架分析。这篇高级评论收集了用于分析气候变化传播的计算框架分析的科学文献,并通过结合科学技术研究 (STS) 和其他批判性学术立场的观点,讨论了处理相关风险和警告的方法。建议的前进方式包括组合方法、实践理论跨学科性、研究星座中的基础设施反身性,以及方法的透明度、文件化和可访问性。本文分类如下:气候变化知识的社会地位>气候知识感知的社会学/人类学,气候变化的行为和传播 > 传播气候、历史、社会、文化 > 技术方面和理念
更新日期:2024-06-26
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