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Publication Type : Journal Article
Thematic Areas : SDG 12 Responsible Consumption and Production, SDG 16 Peace Justice and Strong Institutions, SDG13 Climate Change & Risk Management
Publisher : Elsevier BV
Source : Cities
Url : https://doi.org/10.1016/j.cities.2025.106119
Keywords : Zero waste, Social media, Natural language processing, Sustainability, Artificial Intelligence, Public engagement
Campus : Amritapuri
School : School of Engineering
Center : Centre for Cybersecurity
Department : cyber Security
Year : 2025
Abstract : Enhancing zero waste practices is crucial for addressing climate change and resource depletion. This study explores the social dynamics surrounding zero waste practices, with a focus on how social media shapes and reflects public engagement. By employing natural language processing and logistic regression, we analyzed 27,315 posts and 227,964 comments from the r/zerowaste subreddit (2018–2022). Using Social Learning Theory (SLT) and Lifestyle Movement Theory (LMT), the research uncovers patterns in community engagement, emotional responses, and support. The community shows a strong interest in questions, advice, and information sharing, with product recommendations and practical solutions fostering high levels of interaction. Informational posts often trigger anger and frustration, perhaps reflecting awareness of systemic challenges to sustainability. As the community increasingly discusses topics like repair and composting, the study highlights the importance of tailored communication strategies to engage and support resilient online communities in the pursuit of environmental sustainability.
Cite this Research Publication : Krishnashree Achuthan, Sugandh Khobragade, Content dynamics and emotional engagement in online zero waste communities: a longitudinal study, Cities, Elsevier BV, 2025, https://doi.org/10.1016/j.cities.2025.106119