On the use of imagery for climate change engagement

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Climate visuals: A mixed methods investigation of public perceptions of climate images in three countries (2016, background): “Images of climate ‘solutions’ tend to make people feel more able to do something about climate change (they have high ‘efficacy’), but at the same time can reduce people’s sense that the issue is an important one (O’Neill and Nicholson-Cole, 2009; O’Neill et al., 2013).”
What shapes perceptions of climate change? New research since 2010 (2016, background): “There is additional evidence for the fact that fear-inducing representations of climate change are not only ineffective, but may also actually backfire because people see no way out of the negative mood state that is induced, reducing perceived efficacy and inviting denial.(62) A final alternative m”
Tackling Climate Change with Machine Learning (2019, methodology): “design better policy. For example, ML can be used to analyze social norms, behavior, and public opinion aboutclimatechange [616,644–646],aswellastheeffectiveness ofimageryforclimate-change engagement [647, 648]. Some works have also used agent-based models to better understand behavior from a climat”