Guiding Environmental Messaging by Quantifying the Effect of Extreme Weather Events on Public Discourse Surrounding Anthropogenic Climate Change

被引:2
|
作者
Noviello, Andrew [1 ]
Menghani, Sameer [1 ]
Choudhri, Shaan [1 ]
Lee, Ian [1 ]
Mohanraj, Bhushan [1 ]
Noviello, Alexander [1 ]
机构
[1] Lawrenceville Sch, Lawrenceville, NJ 08648 USA
关键词
Climate change; Statistics; Machine learning; MEDIA; TEMPERATURE;
D O I
10.1175/WCAS-D-22-0053.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Anthropogenic climate change promises to bring existential changes to human society in the coming years. One such example of these changes is the increasing frequency of extreme weather capable of causing significant damage. Despite this, many Americans are acutely unaware of the relationship between climate change and extreme weather events, perhaps because of a lack of direct messaging about it. This study analyzed the effects of natural disasters on cli-mate change discussion sentiment and volume through news media and Twitter posts. The study hypothesized that specific major natural disasters would lead to increases in the number of climate change-related Twitter posts and news articles, as well as more positive climate sentiment, indicative of belief in the severity of global warming. Through an analysis of almost 35 million climate change-related tweets and 3000001 news articles, along with the collection of over 130 million natural-disaster-related tweets published in the United States between 2010 and 2020, media volume rose an average of 10% around specific extreme weather events, corroborating the first aspect of the hypothesis. The ratio of positive to nega-tive sentiment tweets, however, decreased, suggesting the tendency of extreme weather to elicit more response from cli-mate change deniers than supporters. Thus, increased climate change discussion around major natural disasters represents a missed opportunity for continuing to drive forward climate change messaging and awareness in the United States.
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页码:17 / 30
页数:14
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