Navigating sentiment dynamics in social media: The role of information characteristics in promoting green consumption across multiple domains

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 112, P. 107840 - 107840

Published: Jan. 30, 2025

Language: Английский

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Building the resilient food waste supply chain for the megacity: Based on the Multi-scale Progressive Fusion framework

Resources Conservation and Recycling, Journal Year: 2025, Volume and Issue: 215, P. 108144 - 108144

Published: Jan. 24, 2025

Language: Английский

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Exploration of public discussion around sustainable consumption on social media

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 204, P. 107505 - 107505

Published: March 4, 2024

Fostering sustainable consumption is crucial and understanding the discussion about on social media serves this important goal. However, literature lacks an up-to-date exploration of topics sentiments pertaining to media. In study, explore public media, Twitter (currently X) posts (or tweets) were analyzed using topic modeling sentiment analysis. The findings revealed that has a slightly positive revolves around specific contexts (such as energy, fashion, plastic, food consumption), issues environmental economic sustainability circular economy resource use), cities, institutions, regulation. Furthermore, mainly relatively minor changes current patterns levels. This study contributes provides practical implications for those interested in fostering consumption.

Language: Английский

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Decreasing Greenhouse Gas Emissions from the Municipal Solid Waste Sector in Chinese Cites

Environmental Science & Technology, Journal Year: 2024, Volume and Issue: 58(26), P. 11342 - 11351

Published: June 14, 2024

Municipal solid waste (MSW) management systems play a crucial role in greenhouse gas (GHG) emissions China. Although the government has implemented many policies to improve MSW system, impact of these improvements on city-level GHG emission reduction remains largely unexplored. This study conducted comprehensive analysis both direct and downstream from sector, encompassing sanitary landfill, dump, incineration, biological treatment, across 352 Chinese cities 2001 2021 by adopting inventory methods recommended Intergovernmental Panel Climate Change (IPCC). The results reveal that (1) sector China peaked at 70.6 Tg CO

Language: Английский

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Revealing the influencing mechanism of the government response to the public online petition on domestic waste classification in China

Cities, Journal Year: 2025, Volume and Issue: 159, P. 105753 - 105753

Published: Jan. 29, 2025

Language: Английский

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Unveiling the Making of Trending Topics on a Digital Platform: A Research Note on Chinese Sina Weibo

Social Science Computer Review, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Understanding the dynamics and duration of trending topics on digital platforms has been deemed a crucial issue research in computer-mediated communication. Employing event history analysis (EHA), this study attempts to examine antecedents lifespan evolution Sina Weibo, one most prevalent social media China. Based collection 2,386 Weibo that emerged between January 1 31, 2022, explores how factors topics, especially their semantic textual features, significantly influence topic persistence. Our findings indicate median survival time was 6.28 hours, with an average 8.29 hours. In addition, exogenous non-viral driven by external events or coverage, tend remain list longer than other topics. Furthermore, political have relatively period when compared events, life records moods, fashion entertainment Lastly, actionable opinion-oriented shorter longevity informational emotional By quantifying affect duration, offers novel theoretical perspective role drivers influences shaping collective connective discourses. The contribute broader field platform communication, particularly public opinion management content governance media.

Language: Английский

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Spatiotemporal Typhoon Damage Assessment: A Multi-Task Learning Method for Location Extraction and Damage Identification from Social Media Texts

ISPRS International Journal of Geo-Information, Journal Year: 2025, Volume and Issue: 14(5), P. 189 - 189

Published: April 30, 2025

Typhoons are among the most destructive natural phenomena, posing significant threats to human society. Therefore, accurate damage assessment is crucial for effective disaster management and sustainable development. While social media texts have been widely used analysis, current studies tend neglect geographic references primarily focus on single-label classification, which limits real-world utility. In this paper, we propose a multi-task learning method that synergizes tasks of location extraction identification. Using Bidirectional Encoder Representations from Transformers (BERT) with auxiliary classifiers as backbone, framework integrates toponym entity recognition model multi-label classification model. Novel toponym-enhanced weights designed bridge generate augmented text representations both tasks. Experimental results show high performance, F1-scores 0.891 0.898 identification, representing improvements 4.3% 2.5%, respectively, over single-task deep baselines. A case study three recent typhoons (In-fa, Chaba, Doksuri) hit China’s coastal regions reveals spatial distribution temporal pattern typhoon damage, providing actionable insights resource allocation. This also adaptable other scenarios, supporting urban resilience

Language: Английский

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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

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: May 6, 2025

This study investigates the dissemination of major waste sorting policies and public feedback attitudes across 46 key Chinese cities using data from Weibo social media platform. The research employs a Latent Dirichlet Allocation (LDA) topic model to identify mine themes comment texts, extracting multiple core discussion topics. results show that although negative sentiments slightly outweighed positive in comments, there was no significant difference focal points attention between sentiments. Negative primarily centered on policy specifics implementation methods, with concerns including details execution operational challenges. Cities such as Shanghai, Beijing, Nanjing, Hangzhou exhibited higher volumes policy-related discussions, indicating greater engagement these regions. Analysis IP address distribution revealed pronounced regional concentration, particularly among residents developed eastern coastal areas. Finally, proposes strategic recommendations for optimizing information enhance willingness participate initiatives.

Language: Английский

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Mandatory policies and willingness to separate waste: a construal level perspective

Journal of Environmental Planning and Management, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: April 16, 2024

Mandating policies about waste separation is essential for solving the urban crisis. To clarify impact of mandatory on residents' willingness to separate waste, based Construal Level Theory, this study constructed a mechanism model and analyzed role perceived cost benefit. The was validated using questionnaire survey 1,370 residents via hierarchical regression analysis bootstrap method. Results corroborate that construal level moderates relationship between policy waste. Specifically, when individuals use high level, have positive effect their (b = 0.481) mediated by benefits. In contrast, low negative −0.358) costs.

Language: Английский

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Influencing factors and mechanisms of the green transformation of consumption: based on text mining and grounded theory

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Language: Английский

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