气候变化领域集成服务门户(CCPortal): Text-mining the signals of climate change doubt

CCPortal

DOI	10.1016/j.gloenvcha.2015.12.001
	Text-mining the signals of climate change doubt
	Boussalis C.; Coan T.G.
发表日期	2016
ISSN	0959-3780
卷号	36
英文摘要	Climate scientists overwhelmingly agree that the Earth is getting warmer and that the rise in average global temperature is predominantly due to human activity. Yet a significant proportion of the American public, as well as a considerable number of legislators in the U.S. Congress, continue to reject the "consensus view." While the source of the disagreement is varied, one prominent explanation centres on the activities of a coordinated and well-funded countermovement of climate sceptics. This study contributes to the literature on organized climate scepticism by providing the first systematic overview of conservative think tank sceptical discourse in nearly 15 years. Specifically, we (1) compile the largest corpus of contrarian literature to date, collecting over 16,000 documents from 19 organizations over the period 1998-2013; (2) introduce a methodology to measure key themes in the corpus which scales to the substantial increase in content generated by conservative think tanks over the past decade; and (3) leverage this new methodology to shed light on the relative prevalence of science- and policy-related discussion among conservative think tanks. We find little support for the claim that "the era of science denial is over"-instead, discussion of climate science has generally increased over the sample period. © 2015 Elsevier Ltd.
英文关键词	Climate change; Latent Dirichlet allocation; Scepticism; Text mining
学科领域	climate change; data mining; environmental policy; human activity; methodology; numerical model; spatiotemporal analysis; environmental assessment; global climate; literature review; policy making; questionnaire survey; resource allocation; statistical analysis; United States
语种	英语
scopus关键词	climate change; data mining; environmental policy; human activity; methodology; numerical model; spatiotemporal analysis; environmental assessment; global climate; literature review; policy making; questionnaire survey; resource allocation; statistical analysis; United States
来源期刊	Global Environmental Change
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/117413
作者单位	Department of Political Science, Trinity College Dublin, 3 College Green, Dublin 2, Ireland; Department of Politics and Exeter Q-Step Centre, University of Exeter, Amory Building, Rennes Drive, Exeter, Devon, EX4 4RJ, United Kingdom
推荐引用方式 GB/T 7714	Boussalis C.,Coan T.G.. Text-mining the signals of climate change doubt[J],2016,36.
APA	Boussalis C.,&Coan T.G..(2016).Text-mining the signals of climate change doubt.Global Environmental Change,36.
MLA	Boussalis C.,et al."Text-mining the signals of climate change doubt".Global Environmental Change 36(2016).