期刊
BIOSCIENCE
卷 72, 期 8, 页码 789-797出版社
OXFORD UNIV PRESS
DOI: 10.1093/biosci/biac051
关键词
biodiversity conservation; climate change communications; conservation social science; environmental social media; natural language processing
类别
资金
- David H. Smith Conservation research fellowship
- National Institute of Mathematical and Biological Synthesis
- Pomona College
This article applies automated text analysis to study hundreds of thousands of Twitter users in multiple countries who follow major environmental non-governmental organizations. The research findings show that certain environmental issues, such as decarbonization and species conservation, are discussed more intensively than others, such as agriculture or marine conservation. Furthermore, the study reveals the divergence and convergence of environmental discourse on Twitter across countries, states, and political ideologies.
Social media platforms, such as Twitter, are an increasingly important source of information and are forums for discourse within and between interest groups. Research highlights how social media communities have amplified movements such as the Arab Spring, #MeToo, and Black Lives Matter. But environmental digital discourse remains underexplored. In the present article, we apply automated text analysis to 200,000 Twitter users in several countries following leading environmental nongovernmental organizations. Some issues such as public action to decarbonize society or species conservation were discussed more intensely than agriculture or marine conservation. Our results illustrate where environmental discourse diverges and converges on Twitter across countries, states, and characteristics, such as political ideology. Using the coterminous United States as a case study, we observed that the prominence of issues varies across states and, in some cases, covaries with political ideology across counties. Our findings show paths forward to characterizing environmental priorities across many issues at unprecedented scale and extent.
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