Harnessing deep learning to monitor people's perceptions towards climate change on social media.

Summary: People talk a lot about climate change on social media. Scientists created a computer program using "deep learning" to read and understand over 1.7 million posts from Twitter (X) in Spain, Portugal, and the UK. The program was very good at finding posts about real weather events like wildfires and storms. It also figured out how people felt. Most posts were either neutral or negative, showing a lot of anger and sadness about the changing climate. Many people also used sarcasm or irony. This new tool can help leaders understand public feelings and make better choices for our planet.