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July 31, 2012

Twitter Used to Track Unhealthy People, Predict Sickness 8 Days in Advance with 90% Accuracy

Here's an amazing application of Twitter to tracking and predicting public health: Adam Sadilek at the University of Rochester and his team analyzed 4.4 million GPS-tagged Tweets from over 600,000 users in New York City over the course of one month. Using an algorithm to ignore tweets by healthy people and find those who were really ill, they were able to track illness with nearly 90% accuracy and almost 8 days in advance. See the article "Wow! Twitter can tell you when you are going to get sick" in Social Media Today.

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in Research methods and tips, Social Media Measurement |

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