Tracking social hotspots and public concerns on carbon peaking and carbon neutrality in China

被引:1
作者
Han, Mengyao [1 ,2 ]
Liu, Jiahua [3 ,4 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[2] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
[3] Xidian Univ, Sch Math & Stat, Xian 710126, Peoples R China
[4] China Univ Geosci Beijing, Sch Econ & Management, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
Dual-carbon goals; News hotspots; Data crawling; Co-word network; MEDIA ANALYTICS; CLIMATE-CHANGE;
D O I
10.1016/j.jclepro.2024.144308
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Since China's dual carbon goals, also known as carbon peaking and carbon neutrality, were put forward in 2020, the related news hotspots have gradually received the public's attention. Focusing on carbon peaking and carbon neutrality, this study attempts to conduct visual analyses and identify social hotspots based on Weibo data crawling, co-word network drawing, and latent Dirichlet allocation. The results showed that social attention to dual-carbon goals has increased significantly, especially concerning carbon neutrality rather than carbon peaking. When compared, carbon peaking's Weibo hotspots are more concentrated in specific fields such as clean energy and energy storage, while those of carbon neutrality are more inclined to international consensus, public appeal, and environmental protection. Some social hotspots also reflected dual-carbon related concerns such as coal burning, unapproved policies, insufficient technology maturity, and imperfect supporting systems, making it possible to promptly track public concerns to be solved. Based on Weibo data crawling, this study plays a crucial role in identifying social hotspots and grasping public concerns accurately, which provides practical suggestions and implications for achieving carbon peaking and carbon neutrality in China.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Alexandra S., Lance B W., Social media and the organization of collective action: using Twitter to explore the Ecologies of two climate change protests, Commun. Rev., 14, 3, pp. 197-215, (2011)
  • [2] Alnour M., Awan A., Hossain E.M., Towards a green transportation system in Mexico: the role of renewable energy and transport public-private partnership to curb emissions, J. Clean. Prod., (2024)
  • [3] Berglez P., Olausson U., Climate irresponsibility on social media. A critical approach to “high-carbon visibility discourse”, Soc. Semiotic., 33, 5, pp. 1011-1025, (2021)
  • [4] Bogdan B., Philip C.T., Social media analytics: a survey of techniques, tools and platforms, AI Soc., 30, 1, pp. 89-116, (2015)
  • [5] Cai Y.M., Chang Q., Chinese short text topic analysis by latent dirichlet allocation model with Co-word network analysis, J. China Soc. Sci. Techn. Inform., 37, 3, pp. 305-317, (2018)
  • [6] Cheng D., Climate influencers on social media, Nat. Clim. Change, 14, (2024)
  • [7] Debnath R., Bardhan R., Shah D.U., Et al., Social media enables people-centric climate action in the hard-to-decarbonise building sector, Sci. Rep., 12, (2022)
  • [8] Donnison C.L., Trdlicova K., Mohr A., Et al., A net-zero storyline for success? News media analysis of the social legitimacy of bioenergy with carbon capture and storage in the United Kingdom, Energy Res. Social Sci., 102, (2023)
  • [9] Eker S., Garcia D., Valin H., Et al., Using social media audience data to analyse the drivers of low-carbon diets, Environ. Res. Lett., 16, 7, (2021)
  • [10] Espejo W., Celis J.E., Chiang G., Et al., Environment and COVID-19: pollutants, impacts, dissemination, management and recommendations for facing future epidemic threats, Sci. Total Environ., 747, (2020)