Public Perception of Haze Weather Based on Weibo Comments

Qiang Zhang, Jinshou Chen and Xueyan Liu
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Qiang Zhang: College of Computer Science & Engineering, Northwest Normal University, Lanzhou 730070, China
Jinshou Chen: College of Computer Science & Engineering, Northwest Normal University, Lanzhou 730070, China
Xueyan Liu: College of Mathematics & Statistics, Northwest Normal University, Lanzhou 730070, China

IJERPH, 2019, vol. 16, issue 23, 1-11

Abstract: 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.

Keywords: social public environment perception; data mining; semantic analysis; complex network (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
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