English

Machine learning reveals how personalized climate communication can both succeed and backfire

Machine Learning 2021-09-14 v1 Computers and Society

Abstract

Different advertising messages work for different people. Machine learning can be an effective way to personalise climate communications. In this paper we use machine learning to reanalyse findings from a recent study, showing that online advertisements increased some people's belief in climate change while resulting in decreased belief in others. In particular, we show that the effect of the advertisements could change depending on people's age and ethnicity.

Keywords

Cite

@article{arxiv.2109.05104,
  title  = {Machine learning reveals how personalized climate communication can both succeed and backfire},
  author = {Totte Harinen and Alexandre Filipowicz and Shabnam Hakimi and Rumen Iliev and Matthew Klenk and Emily Sumner},
  journal= {arXiv preprint arXiv:2109.05104},
  year   = {2021}
}
R2 v1 2026-06-24T05:52:22.792Z