Public Perception of Haze Weather Based on Weibo Comments

Zhang, Qiang; Chen, Jinshou; Liu, Xueyan

doi:10.3390/ijerph16234767

Cited by 12 publications

(5 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is similar to Twitter in terms of its powerful interactive functions and timely information updates, which significantly influence the organization of social life and public opinion. In Weibo's text resources, key and frequently used words can reflect various public narratives and the degree of public concern about these narratives ( Zhang et al, 2019 ). Our next step was to clean the data by deleting duplicate content and advertisements.…”

Section: Methodsmentioning

confidence: 99%

Public perception of urban companion animals during the COVID-19 outbreak in China

et al. 2020

View full text Add to dashboard Cite

This paper responds to the increasing concern regarding the role of non-human life in shaping urban space by exploring the public perception of urban companion animals during the coronavirus disease 2019 (COVID-19) outbreak in China. We argue that the public's perception of urban companion animals during emerging infectious disease outbreaks is related to medical and life science issues and reflects the political, economic, and emotional struggles involved in human-animal multispecies cohabitation. We find that the public has mainly followed and reconstructed medical discourses about the risk of companion animal-to-human transmission and discussed sustainable ethical animal practices in urban public health emergency management during the COVID-19 outbreak. Concerns regarding the risk of companion animal-related infection reflect the increasing prominence of more-than-human families, the pet industry, and multispecies leisure conflicts in public space in Chinese cities. The public's attention to animal ethics has prompted Chinese policy makers to adopt a more morally acceptable model for urban public health emergency management that can be sustained and supported by responsible non-governmental organizations and ethical urban residents.

show abstract

Section: Methodsmentioning

confidence: 99%

Public perception of urban companion animals during the COVID-19 outbreak in China

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Brimblecombe and Lai (2021) also found strong links between bushfires and searches on air pollution. Zhang et al (2019) were able to establish the seasonal variability of perception to haze using network topology analysis. This was mainly attributed to the perception arising from physical symptoms due to haze pollution.…”

Section: Search Analysis Studiesmentioning

confidence: 99%

Air pollution perception for air quality management: a systematic review exploring research themes and future perspectives

S M

2024

Environ. Res. Lett.

View full text Add to dashboard Cite

Air pollution is perceived through sensory stimuli and interpreted by our brain. Perception is highly subjective and varies from person to person. As many direct and indirect factors influence air pollution perception, it is difficult to unearth the underlying mechanisms. Many studies have tried to understand the mechanisms and relations affecting perception, and it is important to evaluate those different approaches.We systematically reviewed 104 studies on air pollution perception, following the PRISMA guidelines. There is a difference between the public's subjective perception and objective air quality measurements. This discrepancy has been found to occur due to varied socio-economic characteristics, knowledge, emotions, etc. The advent of social media and the internet has had a significant effect on risk perception. All these influencing factors create differences between the public's perception and the scientific community/policymakers. This gap can be fixed by tailoring science-backed information for better communication. Based on past studies, we highlight the need for tailored data dissemination, integration of big data for urban management, development of robust frameworks to incorporate perception and use of a perception index for better communication.

show abstract

“…In view of some issues related to the vital interests of the people, the government can understand the situation through public opinion analysis. For example, text data on Weibo can be used to raise public awareness of haze management and provide references for the government to formulate environmental policies [5]. For the policy evaluation after the implementation of the second child policy (second stage) and the comprehensive second child policy, we can use text data on Weibo to study the online attitudes and reactions of the public [6].…”

Section: Literature Reviewmentioning

confidence: 99%

Covid-19 Public Opinion Analysis Based on LDA Topic Modeling and Data Visualization

Chen

Huang

Zhang

et al. 2020

Machine Learning for Cyber Security

View full text Add to dashboard Cite

The Coronavirus Disease 2019 has a huge impact on countries all over the world. The analysis of public opinions during this period is conducive to the government timely understanding and solving the difficulties faced by the people. In this paper, we crawled text data from different periods of "Wuhan lockdown" and "Wuhan lift lockdown" from Sina Weibo for analysis. Then we use LDA topic modeling and LDAvis visualization methods to compare the topics that people pay attention to in different periods. We find that people's concerns are indeed different in different periods. Therefore, public opinion analysis can enable decision-makers to understand a large amount of information in a short time, and the government can establish a good relationship with the public by solving hot and difficult issues of public concern. By analyzing the public opinions during the epidemic in China, we can also know the corresponding measures taken by the Chinese government. At present, many countries in the world are deeply affected by the epidemic, and this paper also provides reference for the reconstruction of these countries.

show abstract

Public Perception of Haze Weather Based on Weibo Comments

Cited by 12 publications

References 9 publications

Public perception of urban companion animals during the COVID-19 outbreak in China

Public perception of urban companion animals during the COVID-19 outbreak in China

Air pollution perception for air quality management: a systematic review exploring research themes and future perspectives

Covid-19 Public Opinion Analysis Based on LDA Topic Modeling and Data Visualization

Contact Info

Product

Resources

About