气候变化领域集成服务门户(CCPortal): Polarized frames on "climate change" and "global warming" across countries and states: Evidence from Twitter big data

CCPortal

DOI	10.1016/j.gloenvcha.2015.02.010
	Polarized frames on "climate change" and "global warming" across countries and states: Evidence from Twitter big data
	Jang S.M.; Hart P.S.
发表日期	2015
ISSN	0959-3780
卷号	32
英文摘要	Environmental communication researchers have focused on the role of media frames in the formation of public opinion. Yet, little is known about how citizens incorporate such frames into everyday conversations. We address this issue by examining the stream of Twitter conversations about climate change over two years. We demonstrate that hoax frames that question the reality of climate change prevail in the US, particularly in "red states" compared to the UK, Canada, and Australia or "blue states" in the US. We also investigate the use of terms, "global warming" and "climate change." We find that red states prefer "global warming" to "climate change" compared to blue states and "global warming" is particularly associated with hoax frames. © 2015 Elsevier Ltd.
英文关键词	Big data; Climate change; Comparative analysis; Framing; Global warming; Twitter
学科领域	climate change; comparative study; data set; global warming; polarization; research work; United States
语种	英语
scopus关键词	climate change; comparative study; data set; global warming; polarization; research work; 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/117524
作者单位	School of Journalism and Mass Communications, University of South Carolina, United States; Department of Communication Studies, University of Michigan, 105 South State St., Suite 4661, Ann Arbor, MI 48109-1106, United States
推荐引用方式 GB/T 7714	Jang S.M.,Hart P.S.. Polarized frames on "climate change" and "global warming" across countries and states: Evidence from Twitter big data[J],2015,32.
APA	Jang S.M.,&Hart P.S..(2015).Polarized frames on "climate change" and "global warming" across countries and states: Evidence from Twitter big data.Global Environmental Change,32.
MLA	Jang S.M.,et al."Polarized frames on "climate change" and "global warming" across countries and states: Evidence from Twitter big data".Global Environmental Change 32(2015).