Any single Tweet may seem insignificant, but taken together billions of Tweets can unlock insights to our public health.
Michael J. Paul and Mark Dredze analyzed two billion Tweets for relevance to health information and then compared the results to data from the Centers for Disease Control. They demonstrated that Twitter can accurately track the spread of influenza, the peak of allergies and predict how diseases spread and change over time. Their research suggests new uses for big data.
Michael Paul was an intern at Twitter before returning to Johns Hopkins.