Nearly 15% of Americans deny climate
change is real, AI study finds
Climate change denial and belief relative to
political affiliation. Credit: Yang et al. in Scientific Reports,
February 2024.
Using social media data and artificial
intelligence, a new University of Michigan-led study reveals that
nearly 15% of Americans deny that climate change is real.
Scientists have long warned that a warming
climate will cause communities around the globe to face increasing
risks due to unprecedented levels of flooding, wildfires, heat stress,
sea-level rise and more. Though the science is sound—even showing that
human-induced, climate-related natural disasters are growing in
frequency and intensity sooner than originally anticipated—climate
change is still not wholly accepted as true in the United States.
The researchers used Twitter (now X) data from
2017 to 2019 and AI techniques to understand how social media has
spread climate change denialism, analyzing the data to estimate
climate change belief and denial rates.
The study,
appearing
in the journal Scientific Reports, also identified key
influencers, such as former President Donald Trump, and how they
spread and cement misinformation about climate change by leveraging
world and weather events.
"Prior to the advancement of AI and
social media data, this work relied on expensive and
time-consuming surveys," said study senior author Joshua Newell,
professor and co-director of the Center for Sustainable Systems at
U-M's School for Environment and Sustainability.
Using ChatGPT's Large Language Model, Newell
and colleagues classified more than 7.4 million geocoded tweets as
"for" or "against" climate change and mapped the results at state and
county levels. They then used statistical models to determine the
typical profile of someone who does not believe in climate change and
performed network analysis to identify the structure of the social
media network for both climate change belief and denial.
The study found that 14.8% of Americans deny
that climate change is real, which is consistent with previous
national studies, and also identified the demographic and geographic
groups where denialism persists.
Analysis of the geocoded tweets revealed that
belief in climate change is highest along the West Coast and East
Coast, and that denialism is highest in the Central and Southern parts
of the country, with more than 20% of the populations of Oklahoma,
Mississippi, Alabama and North Dakota consisting of people who do not
believe in climate change.
The researchers also revealed that belief in
climate change can vary substantially within states. For example, in
California, where less than 12% of the population does not believe in
climate change, one particular county, Shasta County (in northern
California), had climate change denial rates as high as 52%.
Similarly, the average percentage of deniers
in Texas is 21%, but at the county level, this ranges from 13% in
Travis County (where the state capital, Austin, is located) to 67% in
Hockley County (near Lubbock in northwest Texas).
The findings show that political affiliation
plays the most influential role in determining whether a person
believes in climate change or not, with a high percentage of
Republican voters having the strongest correlation with climate change
deniers.
In addition, the researchers saw a strong
connection between climate denialism and low COVID-19 vaccination
rates, suggesting a broad skepticism of science. Other variables that
they found to influence climate change opinion include level of
education, income and the degree to which the regional economy is
reliant on fossil fuels to produce energy.
Climate change denialism in the
U.S., by state (A) and county (B). (Note: Uncertainty is higher in
counties with low population densities due to smaller tweet sample
sizes.) Credit: Yang et al. in Scientific Reports, February
2024.
"What this indicates is that communities with
a high prevalence of climate change deniers are at risk of discounting
other science-based health or safety recommendations," said Dimitrios
Gounaridis, a research fellow at U-M's Center for Sustainable Systems
and one of the study's lead authors.
The study is also believed to be the first to
identify which individuals on X are influential in shaping belief or
denial of climate change and to what extent. In addition, it maps out
how denialists and climate change believers have formed mostly
separate X communities, creating echo chambers that do not interact
with each other.
The findings show Trump as having the biggest
influence, as well as three influential groups that heavily retweeted
him—The Daily Wire, Breitbart and Climate Depot—in addition to
conservative political commentators such as Ben Shapiro.
"During the 2017-2019 study period, the most
heavily retweeted post includes one by Trump that questions climate
change due to unusually cold weather in the U.S., and another where he
casts doubt on a U.N. climate report," Newell said. "In almost half of
the tweets analyzed, the most common refrain was that 'climate change
was not real.' Other frequent explanations were that humans are not
the primary cause and that climate change experts are unreliable."
Newell says that, although there's a broad
awareness of the fact that social media users like Trump can be
influential, it was striking just how influential a role some
individuals play in shaping and cementing public opinion on crucial
issues such as climate change.
"What is scary, and somewhat disheartening, is
how divided the worlds are between climate change belief and denial,"
he said. "The respective X echo chambers have little communication and
interaction between them."
Newell notes that the study did not analyze
newer social media outlets, such as Truth Social, a primary channel
for Trump's recent social media posts.
"Influencers like Trump are creating their own
echo chambers outside of X, which in many ways is even more
concerning," he said. "People tend to selectively credit or discredit
evidence based on their beliefs, which is how fake experts come to
serve as credible messengers."
"This is the basis of the theory of
identity-protective cognition, which helps explain, for example, why
Republican voters are more likely to believe tweets from Trump on
climate change rather than other, more reliable sources—it is
identity-affirming."
With
election season in full swing, the study's authors suggest that
social media companies should flag misinformation when it appears on
their platforms and consider banning users who persistently spread
falsehoods.
"The information revealed in this study
provides a basis for developing strategies to counter this knowledge
vulnerability and reduce the spread of mis- or disinformation by
identifying the communities most at risk of not adopting measures to
increase resilience to the effects of climate change," Newell said.
"We learned that a relatively small number of individuals are highly
influential in spreading misinformation about
climate change.
"Social media companies have banned users for
this type of behavior in the past, and for other topics, such as when
then-Twitter banned Trump because of tweets maintaining election fraud
and supporting the U.S. Capitol attack on Jan. 6 (his account has
since been restored). For the safety of others, these companies should
consider developing similar policies to limit the spread of
climate change misinformation."
Other study authors are Jianxun Yang, a former
visiting scholar at the Center for Sustainable Systems who is
currently a research assistant professor at the School of the
Environment at Nanjing University, and Miaomiao Liu, an associate
professor at the School of the Environment at Nanjing University.
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