Using large text news archives for the analysis of climate change discourse: some methodological observations

Reiner Grundmann

Journal of Risk Research, 2022, vol. 25, issue 3, 395-406

Abstract: This paper explores the contribution of software-based tools that are increasingly used for the semi-automated analysis of large volumes of text, especially Topic Modelling and Corpus Linguistics. These tools highlight the potential of getting interesting and new insights quickly, but at a cost. Linguistic aspects need to be considered carefully if computer-assisted technologies are to provide valid and reliable results. Main features of these tools will be presented, and some general problems and limitations will be discussed. The relation between technical tools and theoretical frameworks is discussed. The main empirical reference is the case of climate change.

Date: 2022
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DOI: 10.1080/13669877.2021.1894471

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