globalchange  > 过去全球变化的重建
DOI: 10.1371/journal.pone.0136092
论文题名:
Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll
作者: Emily M. Cody; Andrew J. Reagan; Lewis Mitchell; Peter Sheridan Dodds; Christopher M. Danforth
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2015
发表日期: 2015-8-20
卷: 10, 期:8
语种: 英语
英文关键词: Climate change ; Twitter ; Happiness ; Natural disasters ; Global warming ; Graphs ; Tornadoes ; Social media
英文摘要: The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a valuable resource for analyzing current events and headline news. In this research, we analyze tweets containing the word “climate” collected between September 2008 and July 2014. Through use of a previously developed sentiment measurement tool called the Hedonometer, we determine how collective sentiment varies in response to climate change news, events, and natural disasters. We find that natural disasters, climate bills, and oil-drilling can contribute to a decrease in happiness while climate rallies, a book release, and a green ideas contest can contribute to an increase in happiness. Words uncovered by our analysis suggest that responses to climate change news are predominately from climate change activists rather than climate change deniers, indicating that Twitter is a valuable resource for the spread of climate change awareness.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0136092&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/20350
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Computational Story Lab, University of Vermont, Burlington, VT 05401, United States of America;Vermont Complex Systems Center, University of Vermont, Burlington VT 05401, United States of America;Department of Mathematics and Statistics, University of Vermont, Burlington VT 05401, United States of America;Computational Story Lab, University of Vermont, Burlington, VT 05401, United States of America;Vermont Complex Systems Center, University of Vermont, Burlington VT 05401, United States of America;Department of Mathematics and Statistics, University of Vermont, Burlington VT 05401, United States of America;School of Mathematical Sciences, The University of Adelaide, SA 5005, Australia;Computational Story Lab, University of Vermont, Burlington, VT 05401, United States of America;Vermont Complex Systems Center, University of Vermont, Burlington VT 05401, United States of America;Department of Mathematics and Statistics, University of Vermont, Burlington VT 05401, United States of America;Computational Story Lab, University of Vermont, Burlington, VT 05401, United States of America;Vermont Complex Systems Center, University of Vermont, Burlington VT 05401, United States of America;Department of Mathematics and Statistics, University of Vermont, Burlington VT 05401, United States of America

Recommended Citation:
Emily M. Cody,Andrew J. Reagan,Lewis Mitchell,et al. Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll[J]. PLOS ONE,2015-01-01,10(8)
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