Scientists used machine learning to make a mood ring for the internet, and it showed us how sad the world was at the start of the pandemic.
Jeremy Bishop / UnsplashMood is a unique way for researchers to try to measure the impact of natural or unnatural disasters on people. However, it’s simply impractical to ask every single person in the world how they’re feeling in the aftermath of a sweeping event.
But scientists from the Massachusetts Institute of Technology, the Chinese Academy of Sciences, and the Max Planck Institute for Human Development found a workaround. They used machine learning techniques to scan social media for sentiment shifts following the first wave of COVID-19 in 100 different countries, and used it to get real-time reads on how happy or sad the events related to the pandemic made people across the world.
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