The study on the dissemination of waste sorting policies on social media and the public’s feedback attitudes: a text analysis based on comment data of policies in 46 key cities in China

The study on the dissemination of waste sorting policies on social media and the public’s feedback attitudes: a text analysis based on comment data of policies in 46 key cities in China

This study investigates the dissemination of major waste sorting policies and public feedback attitudes across 46 key Chinese cities using data from the Weibo social media platform. The research employs a Latent Dirichlet Allocation (LDA) topic model to identify and mine themes from comment texts, e...

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Bibliographic Details
Main Authors: Liangkun Chen, Lexin Huang, Wanqi Ma, Suwei Ma, Yuhang Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Environmental Science
Subjects:
waste sorting
social media
official policy
text analysis
public feedback attitudes
latent dirichlet allocation model
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2025.1546136/full
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