Computer-assisted analysis of public discourse: a case study of the precautionary principle in the US and UK press

Computer-assisted analysis of public discourse: a case study of the precautionary principle in... Content analysis of newspaper publications has become a major scientific method of the analysis of public discourse. Within the framework of content analysis, we suggest a computer-assisted method to extract the most important topics of this discourse in an objective, quantifiable manner. The method combines frequency and proximity analysis of the text population, selection of the key words, text modification based on a key word dictionary, factor analysis of the modified text population, and factor interpretation. We illustrate the concept by applying the method to study the major topics discussed in the US and UK prestige press that relate to the precautionary principle. Precautionary principle is a concept of preventing environmental damage under scientific uncertainty. The analysis demonstrates the difference between the major topics of the precautionary principle discussion in the US and UK press. In the US, it revolves around an emphasis on the action on global warming, international trade on genetically modified food, environment pollution, the risks of new technologies, and cost-benefit analysis (CBA). In the UK, the major discussion topics include threats to agriculture and farmers, climate change economics, national and EU regulations, and commercial fishing. Other discussion topics, such as health and pollution, water safety regulations, meat safety and trade, and GMO regulations are shared between the countries. The US sample demonstrates more negative views towards the precautionary principle, which is presented as a threat to the US economic interests. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Computer-assisted analysis of public discourse: a case study of the precautionary principle in the US and UK press

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Publisher
Springer Netherlands
Copyright
Copyright © 2010 by Springer Science+Business Media B.V.
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-010-9383-z
Publisher site
See Article on Publisher Site

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