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Public Perception of Haze Weather Based on Weibo Comments
In China, haze weather has become a major public concern and is frantically discussed by the public. Many people express their views, opinions, or complaints on social media. Effectively extracting this useful information may help to improve our understanding of how the public perceive and respond t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926776/ https://www.ncbi.nlm.nih.gov/pubmed/31795114 http://dx.doi.org/10.3390/ijerph16234767 |
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author | Zhang, Qiang Chen, Jinshou Liu, Xueyan |
author_facet | Zhang, Qiang Chen, Jinshou Liu, Xueyan |
author_sort | Zhang, Qiang |
collection | PubMed |
description | In China, haze weather has become a major public concern and is frantically discussed by the public. Many people express their views, opinions, or complaints on social media. Effectively extracting this useful information may help to improve our understanding of how the public perceive and respond to haze, and could potentially contribute to environmental policy-making. In this paper, we study how the public perceive haze during haze weather and how this perception changes with seasons based on comment data from a major social media platform in China, Weibo, and using several social network methods, including perceptual keyword cloud mapping, complex network topology characteristics, and social perception analysis. The results showed that the public’s perception was focused on the causes of haze in spring, enjoyment of life and travel in summer, measures to prevent haze in autumn, and the adverse effects of haze on human health in winter. |
format | Online Article Text |
id | pubmed-6926776 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69267762019-12-24 Public Perception of Haze Weather Based on Weibo Comments Zhang, Qiang Chen, Jinshou Liu, Xueyan Int J Environ Res Public Health Article In China, haze weather has become a major public concern and is frantically discussed by the public. Many people express their views, opinions, or complaints on social media. Effectively extracting this useful information may help to improve our understanding of how the public perceive and respond to haze, and could potentially contribute to environmental policy-making. In this paper, we study how the public perceive haze during haze weather and how this perception changes with seasons based on comment data from a major social media platform in China, Weibo, and using several social network methods, including perceptual keyword cloud mapping, complex network topology characteristics, and social perception analysis. The results showed that the public’s perception was focused on the causes of haze in spring, enjoyment of life and travel in summer, measures to prevent haze in autumn, and the adverse effects of haze on human health in winter. MDPI 2019-11-28 2019-12 /pmc/articles/PMC6926776/ /pubmed/31795114 http://dx.doi.org/10.3390/ijerph16234767 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Qiang Chen, Jinshou Liu, Xueyan Public Perception of Haze Weather Based on Weibo Comments |
title | Public Perception of Haze Weather Based on Weibo Comments |
title_full | Public Perception of Haze Weather Based on Weibo Comments |
title_fullStr | Public Perception of Haze Weather Based on Weibo Comments |
title_full_unstemmed | Public Perception of Haze Weather Based on Weibo Comments |
title_short | Public Perception of Haze Weather Based on Weibo Comments |
title_sort | public perception of haze weather based on weibo comments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6926776/ https://www.ncbi.nlm.nih.gov/pubmed/31795114 http://dx.doi.org/10.3390/ijerph16234767 |
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