Research on the Path of Digital Intelligence Technology to Empower Public Collaborative Governance of Environmental Protection: A Text-based Empirical Analysis

Haoyang Zhang; Zhen Ma; Siyang Zhang; Jinchuan Qi

doi:10.54097/8mg2dg97

Authors

Haoyang Zhang
Zhen Ma
Siyang Zhang
Jinchuan Qi

DOI:

https://doi.org/10.54097/8mg2dg97

Keywords:

Digital Intelligence Technology, Environmental Protection, Public Collaborative Governance, Text Mining and Sentiment Analysis, Activity Theory

Abstract

Based on the perspective of digital intelligence governance, this study uses social media comments as the database, uses text mining, sentiment analysis and grounded theory to identify the key factors affecting environmental collaborative governance, and constructs a public collaborative governance model based on activity theory. The results show that public emotional tendencies and governance issues can jointly affect the improvement of environmental governance efficiency through the interaction between the six elements of subject, object, tool, rule, community and division of labor in the activity theory model. The research results provide theoretical support and practical reference for enhancing the effectiveness of public participation in environmental governance.

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