2019
DOI: 10.1038/s41558-019-0641-3
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Event attribution and partisanship shape local discussion of climate change after extreme weather

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Cited by 92 publications
(58 citation statements)
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“…These results underscore previous observations about the power of focusing events, but importantly, suggest that political polarization and avoidance of climate change talk may not prevent communities from taking adaptation-oriented policy action after an extreme weather event. Thus, while there is substantial evidence of political polarization about climate change, our work aligns with recent media coverage (Flavelle 2020 ; Smith and Schwartz 2019 ) and scholarship (Boudet et al 2019 ; Javeline et al 2019 ; Orlove et al 2019 ) highlighting the potential for communities to take action even while refraining from, or even avoiding, discussions about climate change, especially in the context of high-impact events.…”
Section: Introductionsupporting
confidence: 85%
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“…These results underscore previous observations about the power of focusing events, but importantly, suggest that political polarization and avoidance of climate change talk may not prevent communities from taking adaptation-oriented policy action after an extreme weather event. Thus, while there is substantial evidence of political polarization about climate change, our work aligns with recent media coverage (Flavelle 2020 ; Smith and Schwartz 2019 ) and scholarship (Boudet et al 2019 ; Javeline et al 2019 ; Orlove et al 2019 ) highlighting the potential for communities to take action even while refraining from, or even avoiding, discussions about climate change, especially in the context of high-impact events.…”
Section: Introductionsupporting
confidence: 85%
“…We documented our analytic choices in extensive detail, as recommended by Schneider and Wagemann (2012), and in alignment with recent studies conducted by Boudet et al (2019) and van der Heijden (2017). See Online Appendix A19 for a detailed description of our analytic approach and technical information about fsQCA statistics used to assess necessity and sufficiency.…”
Section: Discussionmentioning
confidence: 94%
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