Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/94662
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Climate change sentiment on Twitter: an unsolicited public opinion poll
Author: Cody, E.
Reagan, A.
Mitchell, L.
Dodds, P.
Danforth, C.
Citation: PLoS One, 2015; 10(8):e0136092-1-e0136092-18
Publisher: Public Library of Science
Issue Date: 2015
ISSN: 1932-6203
1932-6203
Editor: Lehmann, S.
Statement of
Responsibility: 
Emily M. Cody, Andrew J. Reagan, Lewis Mitchell, Peter Sheridan Dodds, Christopher M. Danforth
Abstract: 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.
Keywords: Humans
Happiness
Disasters
Public Opinion
Climate Change
Global Warming
Social Media
Rights: © 2015 Cody et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: 10.1371/journal.pone.0136092
Published version: http://dx.doi.org/10.1371/journal.pone.0136092
Appears in Collections:Aurora harvest 7
Mathematical Sciences publications

Files in This Item:
File Description SizeFormat 
hdl_94662.pdfPublished version4.71 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.