Assessing the effectiveness of green consumption policy in China: Evidence from social media data

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124500 - 124500

Published: Feb. 10, 2025

Language: Английский

How to Go Green? Exploring Public Attention and Sentiment towards Waste Sorting Behaviors on Weibo Platform: A Study Based on Text Co-occurrence Networks and Deep Learning

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38510 - e38510

Published: Sept. 28, 2024

The attention and sentiment of the public are crucial for better implementation waste sorting behaviors moving towards green living. In this study, web scraping technology was used to collect 367,856 Weibo posts related from Sina Weibo. Utilizing text co-occurrence networks, Latent Dirichlet Allocation (LDA) topic modeling, a deep learning model combining Affective Cognitive Model (OCC) with Long Short-Term Memory (LSTM) (referred as OCC-LSTM), we comprehensively understand at both micro macro levels, analyzing on platform. Several important findings emerged empirical results. First, highly engaging were predominantly published by users large following, number fluctuated over time. This reflects influence social hot topics timeliness information dissemination. Second, there heterogeneity in user groups their locations, often influenced cultural differences due geographical location. Third, positive behavior higher than negative Moreover, varied under different emotional influences concerning behavior. innovation study lies development research framework networks learning, expanding analysis levels. broadens paradigms dimensions perception sorting. is significant promoting implementing climate policies.

Language: Английский

Impact of emotional contagion on waste separation intention in social media settings—Evidence based on machine learning and text analysis

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 212, P. 108023 - 108023

Published: Nov. 20, 2024

Language: Английский