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 | Size | Format | |
---|---|---|---|---|
hdl_94662.pdf | Published version | 4.71 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.