Optimizing Environmental Communication
Language matters. Terms used to communicate about the environment can significantly influence public support for a range of issues and solutions. This project develops, tests, and deploys a set of new terms, aiming to be either less politically divisive or more likely to increase support for environmental practices and policies.
This multi-stage project is informed by data-driven natural language processing methods, interviews and focus groups ahead of the 2020 election cycle. The researchers aim to create a data-driven environmental lexicon that engages support for pro-environmental policies and practices.
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Stanford marine biologists, anthropologists, bioengineers, doctors, psychologists, economists, linguistic experts and others soon will collaborate on finding more efficient and effective ways to track marine animals and ocean health, ensure polluters comply with environmental laws, slow deforestation, improve agriculture and more.