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This study systematically examines emerging methods, particularly NLP and ML, for analyzing climate change discourse on social media platforms. Within this framework, sub-objectives encompass presenting methodological approaches and identifying prevalent climate change themes, and data sources. As climate change communication has evolved rapidly in the digital age, with social media becoming a pivotal arena for public discourse, opinion dissemination, and information exchange. The intersection of ML and NLP techniques offers unprecedented opportunities to transform vast amounts of unstructured data into valuable information, ready to be consumed by climate policymakers and different stakeholders. Drawing upon a comprehensive review of 56 articles, this study identifies and synthesizes six different methods that are further divided into sub-approaches and techniques, addressing climate change themes and platforms used. This research contributes to the literature by presenting the most used and effective methods and identifying potential areas needing more investigation in the future. It also provides insight into trending themes and overlooked ones, offering best practices and future research directions.

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Exploring Emerging NLP and Machine Learning Methods in Climate Change Discourse Analysis on Social Media: A Systematic Literature Review

  • 章节

  • 出版模式：

    开放获取

  • 发表日期：

    2025年

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  • Hana Ghiloufi,
  • Nicolas Merveille,
  • Sehl Mellouli

摘要

This study systematically examines emerging methods, particularly NLP and ML, for analyzing climate change discourse on social media platforms. Within this framework, sub-objectives encompass presenting methodological approaches and identifying prevalent climate change themes, and data sources. As climate change communication has evolved rapidly in the digital age, with social media becoming a pivotal arena for public discourse, opinion dissemination, and information exchange. The intersection of ML and NLP techniques offers unprecedented opportunities to transform vast amounts of unstructured data into valuable information, ready to be consumed by climate policymakers and different stakeholders. Drawing upon a comprehensive review of 56 articles, this study identifies and synthesizes six different methods that are further divided into sub-approaches and techniques, addressing climate change themes and platforms used. This research contributes to the literature by presenting the most used and effective methods and identifying potential areas needing more investigation in the future. It also provides insight into trending themes and overlooked ones, offering best practices and future research directions.