This study uses machine learning to analyze 87 million tweets on climate change and vaccines. It finds that the vaccine conversation shows less interaction between users with differing sentiments, more fragmented networks, and numerous isolated neutral communities. Pro-vaccine users largely supported anthropogenic climate change, but the reverse wasn't true. The study proposes that the spatial scale of environmental systems influences the structure of human populations, explaining these contrasting patterns.
Publisher
Humanities & Social Sciences Communications
Published On
Dec 13, 2021
Authors
Justin Schonfeld, Edward Qian, Jason Sinn, Jeffrey Cheng, Madhur Anand, Chris T. Bauch
Tags
machine learning
climate change
vaccines
social networks
user interaction
public sentiment
environmental systems
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