Explore public concerns about environmental protection on Sina Weibo: evidence from text mining

被引:0
|
作者
Lifeng Yang
Shaotong Wu
Guangxia Li
Yunyun Yuan
机构
[1] Fuyang Normal University,School of Economics
[2] Fuyang Normal University,School of Business
[3] Beijing University of Civil Engineering and Architecture,School of Urban Economics and Management
[4] Beijing Institute of Technology,School of Management and Economics
来源
Environmental Science and Pollution Research | 2023年 / 30卷
关键词
Environmental concern; Text mining; Public concern; Internet forwarding;
D O I
暂无
中图分类号
学科分类号
摘要
The increasingly serious problem of ecological environmental pollution warns the importance of human environmental protection behavior. However, public attention to environmental protection plays an important role in solving environmental problems. Therefore, in order to explore the environmental concerns of Chinese residents, the trends in time and space, the relationship between online retweets, and the extraction of environmental concerns, this study analyzed the data of Sina Weibo users and their comments on related posts. At the same time, we used the text mining analysis method to analyze the social media text data, and the results are as follows. In that analysis of concern about environmental protection, women show a stronger attitude and willingness to protect the environment than men, and the public in economically developed areas is more concerned. In order to further investigate the public’s environmental concerns, this study also utilized the PageRank algorithm to further study the forwarding relationships between users. The study found that celebrities and some good media organizations can attract environmental attention. Finally, we use pyLDAvis technology to visualize and analyze popular environmental themes and propose reasonable countermeasures and suggestions to enhance public environmental awareness based on the research results.
引用
收藏
页码:104067 / 104085
页数:18
相关论文
共 40 条
  • [1] Explore public concerns about environmental protection on Sina Weibo: evidence from text mining
    Yang, Lifeng
    Wu, Shaotong
    Li, Guangxia
    Yuan, Yunyun
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (47) : 104067 - 104085
  • [2] Exploring the motivations and obstacles of the public's garbage classification participation: evidence from Sina Weibo
    Wenqi Wu
    Ming Zhang
    Journal of Material Cycles and Waste Management, 2023, 25 : 2049 - 2062
  • [3] Exploring the motivations and obstacles of the public's garbage classification participation: evidence from Sina Weibo
    Wu, Wenqi
    Zhang, Ming
    JOURNAL OF MATERIAL CYCLES AND WASTE MANAGEMENT, 2023, 25 (04) : 2049 - 2062
  • [4] Improving responsible Media Reporting on Student Suicide to Reduce Negative Public Opinion: Text Mining Based on Sina Weibo in China
    Chu, Meijie
    Lee, Chun-Yang
    Huang, Shiling
    Zhang, Xiaoke
    Wang, Lijie
    Chen, Tianmu
    Chiang, Yi-Chen
    OMEGA-JOURNAL OF DEATH AND DYING, 2024,
  • [5] Exploring Food Safety Emergency Incidents on Sina Weibo: Using Text Mining and Sentiment Evolution
    Ma, Biao
    Zheng, Ruihan
    JOURNAL OF FOOD PROTECTION, 2025, 88 (01)
  • [6] Transmission mechanism of public concern in waste-sorting policy: Evidence from text mining
    Shi, Binfeng
    ENERGY & ENVIRONMENT, 2024, 35 (03) : 1616 - 1636
  • [7] Proposed Text Mining Framework to Explore Issues from Text in a Certain Domain
    Hussain, Hameed
    Shaikh, Maqbool Uddin
    Malik, Saif Ur Rehman
    2010 SECOND INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND APPLICATIONS: ICCEA 2010, PROCEEDINGS, VOL 1, 2010, : 16 - 21
  • [8] Listen to the guests: Text -mining Airbnb reviews to explore indoor environmental quality
    Villeneuve, Hannah
    O'Brien, William
    BUILDING AND ENVIRONMENT, 2020, 169
  • [9] Public Attention and Sentiment toward Intimate Partner Violence Based on Weibo in China: A Text Mining Approach
    Xu, Heng
    Zeng, Jun
    Tai, Zhaodan
    Hao, Huihui
    HEALTHCARE, 2022, 10 (02)
  • [10] Public attention and sentiment of recycled water: Evidence from social media text mining in China
    Li, Li
    Liu, Xiaojun
    Zhang, Xinyue
    JOURNAL OF CLEANER PRODUCTION, 2021, 303