Social media posts can help researchers estimate air pollution levels with significant accuracy, according to a team of computer scientists from the University of Wisconsin.

The researchers analyzed posts on Weibo — a Twitter-like site that is China’s most popular social media outlet — from 108 Chinese cities over 30 days, tracking how often people complained about the air and the words they used to describe air quality.

The study showed that the process can provide accurate, real-time information on the air quality index, a widely used measure of common air pollutants. Large Chinese cities sometimes have physical monitoring stations to gauge pollution levels, but smaller cities generally do not because monitors are expensive to install and maintain.

The researchers hope these findings will help residents of smaller towns and less affluent areas understand the severity of their local air pollution. Between 350,000 and 500,000 Chinese citizens die prematurely each year because of air pollution, a former Chinese health minister estimated in the journal The Lancet.



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Yale Environment 360 is an online magazine offering opinion, analysis, reporting and debate on global environmental issues. We feature original articles by scientists, journalists, environmentalists, academics, policy makers, and business people, as well as multimedia content and a daily digest of major environmental news. Yale Environment 360 is published by the Yale School of Forestry & Environmental Studies and Yale University. We are funded in part by the Gordon and Betty Moore Foundation and by the John D. and Catherine T. MacArthur Foundation. The opinions and views expressed in Yale Environment 360 are those of the authors and not of the Yale School of Forestry & Environmental Studies or of Yale University.

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