Nature is resource, playground, and gift: What artificial intelligence reveals about human-Nature relationships.

Journal: PloS one
Published Date:

Abstract

This paper demonstrates how artificial-intelligence language analysis can inform understanding of human-nature relationships and other social phenomena. We demonstrate three techniques by investigating relationships within the popular word2vec word embedding, which is trained on a sample from over 50,000 worldwide news sources. Our first technique investigates what theory-generated analogies are most similar to nature:people. The resource:user analogy is most similar, followed by the playground:child and gift:receiver analogies. Our second technique explores whether nature-related words are affiliated with words that denote race, class, or gender. Nature words tend slightly toward associations with femininity and wealth. Our third technique demonstrates how the relationship between nature and wellbeing compares to other concepts' relationships to wellbeing-e.g., spirituality-wellbeing, social relations-wellbeing. Nature is more semantically connected to wellbeing than money, social relations, and multiple other wellbeing correlates. Findings are consistent with previous social science and humanities research on human-nature relationships, but do not duplicate them exactly; our results thus offer insight into dominant trends and prevalence of associations. Our analysis also offers a model for using word embeddings to investigate a wide variety of topics.

Authors

  • Rachelle K Gould
    Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, United States of America.
  • Bradford Demarest
    Gund Institute for the Environment, University of Vermont, Burlington, VT, United States of America.
  • Adrian Ivakhiv
    Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, United States of America.
  • Nicholas Cheney
    Department of Computer Science, University of Vermont, Burlington, VT, USA.