Public Sentiment

What do you think about climate change?

In the United States

American Stances on Climate


"How much do you think human activity, such as the burning of fossil fuels, contributes to global climate change?"

Pew Research, American Trends Panel, Wave 55, Oct. 2019

In the U.S., the existence of climate change and the role of CO2 emissions have become a highly partisan topic. In this survey, political leanings had the most widely differing responses between groups, as compared to other demographics such as age, gender, and education.

As depicted, Democratic-associated respondents were much more likely to answer that human activity contributed to climate change as opposed to the Republican-associated. Hover over each segment to view the number of responses for each group.




"Do you think that global climate change is a major threat, a minor threat, or not a threat to your country?"

Pew Research, Global Attitudes Survey, Spring 2018

Among the 27 surveyed countries, the U.S. ranked in the lower-half of percent of respondents who consider climate change to be a "major threat", and had the fourth-highest percent of respondents stating that climate change is "not a threat".

While climate change does pose serious potential repercussions for all in the future, it does stand to affect certain countries more dramatically before others, particularly:

  • smaller island or peninsula countries (South Korea, Japan),
  • countries with signficant areas closer to sea level (Greece, Italy),
  • as well as countries near the equator (Brazil, Mexico).

Climate change may be less of a perceived threat to:

  • countries with more inland populations (U.S., Russia)
  • and/or lower baseline education (Kenya, Indonesia, Tunisia, South Africa, Nigeria).

Hover over the bars to view the percentage of responses for each country.

opinions on twitter

How does the internet think?

On Twitter, users share opinions on multitudes of various topics, not excluding the issue of climate change. Two tags on climate change are particularly opinionated in opposite ways:
#climatechangehoax and #climatechangeisreal.

We compiled lists of tweets (with Twint) for each tag from January 2014 to October 2020 that were retweeted at least 100 times.
We then used the module fastAI to create a neural network and perform deep learning on each group of tweets. With these models, we were able to generate new tweets based on the existing ones.



#ClimateChangeHoax

Typically attached to users who deny or downplay the severity of global climate change and the role carbon emissions. Occasionally includes tweets that treat the notion of a "hoax" with sarcasm.

Total of 192 tweets analyzed.

#ClimateChangeIsReal

Usually attached to posts stressing and insisting on the existence of climate change, as well as future consequences as a result of global warming. Has fewer sarcastic posts, but still some.

Total of 414 tweets analyzed.


Clearly, these "tweets" differ from actual human language.

However, they do capture salient, repeated terms and phrases in both groups even with fairly small datasets for the models to work from. This provides valuable insight in human tendencies and stances on social media using NLP.


Then again, humans are capable of being very changeable.


This graphic of just one particular individual demonstrates that even the same person can deliver vastly differing opinions on a single matter.