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arXiv · 2109.05104

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

Totte Harinen·Alexandre Filipowicz·Shabnam Hakimi·Rumen Iliev·Matthew Klenk·Emily Sumner
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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.

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Totte Harinen, Alexandre Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner. 2021-09-10. Machine learning reveals how personalized climate communication can both succeed and backfire. https://arxiv.org/abs/2109.05104

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