December 10th, 2017 | RESEARCH
Research suggests non-experts associate different content with the terms “global warming” and “climate change.” We test this claim with Twitter content using supervised learning software to categorize tweets by topic and explore differences between content using “global warming” and “climate change” between 1 January 2012 and 31 March 2014. Twitter data were combined with temperature records to observe the extent to which temperature was associated with Twitter discussions. We then used two case studies to examine the relationship between extreme temperature events and Twitter content. Our findings underscore the importance of considering climate change communication on social media.
Document
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Team Members
Sara Yeo, Author, University of UtahZachary Handlos, Author, Northern Illinois University
Alexandra Karambelas, Author, Columbia University
Leona Yi-Fan Su, Author, University of Utah
Kathleen Rose, Author, University of Wisconsin-Madison
Dominique Brossard, Author, University of Wisconsin-Madison
Kyle Griffin, Author, University of Wisconsin-Madison
Citation
Identifier Type: ISSN
Identifier: 1824-2049
Publication: Journal of Science Communication
Volume: 16
Number: 5
Related URLs
Tags
Audience: General Public | Learning Researchers | Scientists
Discipline: Climate | Education and learning science
Resource Type: Peer-reviewed article | Research Products
Environment Type: Media and Technology | Websites | Mobile Apps | Online Media