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

• URL: http://arxiv.org/abs/2109.05104v1
• Date: Fri, 10 Sep 2021 20:47:34 GMT
• Title: Machine learning reveals how personalized climate communication can both succeed and backfire
• Authors: Totte Harinen, Alexandre Filipowicz, Shabnam Hakimi, Rumen Iliev, Matthew Klenk, Emily Sumner
• Abstract summary: We show that online advertisements increase 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.
• Score: 55.41644538483948
• License: http://creativecommons.org/licenses/by/4.0/
• 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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