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MANDALIKA: Journal of Social Sciences
ISSN : 29858968     EISSN : 29858976     DOI : https://doi.org/10.56566/mandalika
MANDALIKA: Journal of Social Sciences is the journal with rapid peer-review, which publishes works from a wide range of fields, including anthropology, criminology, economics, education, geography, history, law, linguistics, political science, psychology, social policy, social work, sociology and so on. All review processes are carried out using a single-blind review method and are managed by the editorial board. This method keeps the identity of the reviewer confidential from the author. Any reviewer who is asked to review an article by the editor of the MANDALIKA: Journal of Social Sciences must comply with the Ethics for Reviewers. MANDALIKA: Journal of Social Sciences provides open access that can be read and downloaded for free to the public and will support the exchange of knowledge in science and humanity service. The copyright of the published article is held by the author and under license Creative Commons Attribution 4.0 International License.
Articles 41 Documents
Artificial Intelligence in Climate Change Communication: Enhancing Public Awareness, Participation, and Policy Engagement Turan, Mohammad Nawab; Tarashtwal, Omid; Shahbazi, Hafizullah
MANDALIKA : Journal of Social Science Vol. 4 No. 1 (2026): February
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/mandalika.v4i1.655

Abstract

Climate change remains one of the most pressing global challenges, yet public awareness, participation, and evidence-based policy engagement often lag due to the complexity of scientific information and ineffective communication strategies. This study explores the role of artificial intelligence (AI) in enhancing climate change communication, fostering citizen engagement, and supporting policy formulation. Using a systematic literature review (SLR) methodology, publications from 2010 to 2025 were collected from reputable databases, including ScienceDirect, SpringerLink, IEEE Xplore, MDPI, Wiley, Emerald, and Scopus. Boolean search operators and targeted keywords, such as “artificial intelligence,” “climate change communication,” “public engagement,” and “policy,” guided the selection of relevant studies. Results indicate that AI significantly improves public understanding by enabling data-driven visualization, natural language generation, and predictive analytics. It enhances citizen participation through AI-powered citizen science initiatives, collaborative data collection, and real-time monitoring of environmental indicators. Additionally, AI strengthens policy engagement by facilitating evidence-based governance, scenario modeling, and adaptive decision-making. Overall, AI functions as a transformative tool that bridges scientific knowledge, societal awareness, and policy implementation, promoting informed and sustainable climate action. The findings underscore the need for equitable access, ethical considerations, and capacity building to ensure that AI benefits are widely shared and contribute to resilient climate strategies.