Language:

Mapping climate discourse to climate opinion: An approach for augmenting surveys with social media to enhance understandings of climate opinion in the United States

PloS one, 2021-01, Vol.16 (1), p.e0245319 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Bennett et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Bennett et al 2021 Bennett et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0245319 ;PMID: 33444371

Full text available

Citations Cited by

Actions
1. Add to My Research
2. Remove from My Research
3. E-mail
4. Print
5. Permalink
6. Citation
7. EasyBib
8. EndNote
9. RefWorks
10. Delicious
11. Export RIS
12. Export BibTeX

Title:
Mapping climate discourse to climate opinion: An approach for augmenting surveys with social media to enhance understandings of climate opinion in the United States
Author: Bennett, Jackson ; Rachunok, Benjamin ; Flage, Roger ; Nateghi, Roshanak
Grabar, Natalia
Subjects: Barometers ; Carbon ; Carbon monoxide ; Climate change ; Climate policy ; Climatic changes ; Computational linguistics ; Computer and Information Sciences ; Digital media ; Drafting software ; Earth Sciences ; Editing ; Engineering ; Environmental policy ; Environmental sustainability ; Global warming ; Industrial engineering ; Language processing ; Methods ; Motivation ; Natural language interfaces ; Physical Sciences ; Polls & surveys ; Public opinion ; Public opinion surveys ; Queries ; Research and Analysis Methods ; Reviews ; Social media ; Social networks ; Social Sciences ; Social surveys ; Surveys ; User behavior ; Visualization
Is Part Of: PloS one, 2021-01, Vol.16 (1), p.e0245319
Description: Surveys are commonly used to quantify public opinions of climate change and to inform sustainability policies. However, conducting large-scale population-based surveys is often a difficult task due to time and resource constraints. This paper outlines a machine learning framework-grounded in statistical learning theory and natural language processing-to augment climate change opinion surveys with social media data. The proposed framework maps social media discourse to climate opinion surveys, allowing for discerning the regionally distinct topics and themes that contribute to climate opinions. The analysis reveals significant regional variation in the emergent social media topics associated with climate opinions. Furthermore, significant correlation is identified between social media discourse and climate attitude. However, the dependencies between topic discussion and climate opinion are not always intuitive and often require augmenting the analysis with a topic's most frequent n-grams and most representative tweets to effectively interpret the relationship. Finally, the paper concludes with a discussion of how these results can be used in the policy framing process to quickly and effectively understand constituents' opinions on critical issues.
Publisher: United States: Public Library of Science
Language: English
Identifier: ISSN: 1932-6203
EISSN: 1932-6203
DOI: 10.1371/journal.pone.0245319
PMID: 33444371
Source: GFMER Free Medical Journals
PubMed Central
Public Library of Science (PLoS)
ProQuest Central
DOAJ Directory of Open Access Journals

Back to results list


INSPIRE LIBRARY - TON DUC THANG UNIVERSITY	(84-028) 37 755 057	Feedback
19 Nguyen Huu Tho St. Dist.7, HCM	thuvien@tdtu.edu.vn	Feedback

Mapping climate discourse to climate opinion: An approach for augmenting surveys with social media to enhance understandings of climate opinion in the United States

Searching Remote Databases, Please Wait