Crisis talk: analysis of the public debate around the energy crisis and cost of living

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Vydáno v:Social Network Analysis and Mining vol. 14, no. 1 (Dec 2024), p. 74
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Springer Nature B.V.
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022 |a 1869-5450 
022 |a 1869-5469 
024 7 |a 10.1007/s13278-024-01233-w  |2 doi 
035 |a 3015017506 
045 2 |b d20241201  |b d20241231 
245 1 |a Crisis talk: analysis of the public debate around the energy crisis and cost of living 
260 |b Springer Nature B.V.  |c Dec 2024 
513 |a Journal Article 
520 3 |a A prominent media topic in the UK in the early 2020s is the energy crisis affecting the UK and most of Europe. It brings into a single public debate issues of energy dependency and sustainability, fair distribution of economic burdens and cost of living, as well as climate change, risk, and sustainability. In this paper, we investigate the public discourse around the energy crisis and cost of living to identify how these pivotal and contradictory issues are reconciled in this debate and to identify which social actors are involved and the role they play. We analyse a document corpus retrieved from UK newspapers from January 2014 to March 2023. We apply a variety of natural language processing and data visualisation techniques to identify key topics, novel trends, critical social actors, and the role they play in the debate, along with the sentiment associated with those actors and topics. We combine automated techniques with manual discourse analysis to explore and validate the insights revealed in this study. The findings verify the utility of these techniques by providing a flexible and scalable pipeline for discourse analysis and providing critical insights for cost of living—energy crisis nexus research. 
610 4 |a LexisNexis Group 
651 4 |a United Kingdom--UK 
653 |a Discourse analysis 
653 |a Social responsibility 
653 |a Social justice 
653 |a Scientific visualization 
653 |a Cost of living 
653 |a Newspapers 
653 |a Cost analysis 
653 |a Sustainability 
653 |a Sentiment analysis 
653 |a Fossil fuels 
653 |a Data mining 
653 |a Debates 
653 |a Energy shortages 
653 |a Natural language processing 
653 |a Topics 
653 |a Climate change 
653 |a Semantics 
653 |a Dependency 
653 |a Crises 
653 |a Costs 
653 |a Data processing 
653 |a Energy 
653 |a Economic conditions 
653 |a Language varieties 
653 |a Drama 
653 |a Corpus analysis 
773 0 |t Social Network Analysis and Mining  |g vol. 14, no. 1 (Dec 2024), p. 74 
786 0 |d ProQuest  |t Social Science Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3015017506/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text  |u https://www.proquest.com/docview/3015017506/fulltext/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3015017506/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2402.18043