How Twitter could prevent food poisoning:

Technology that eavesdrops on tweets could warn you of how likely it is to become ill by visiting a restaurant.

The system, dubbed ‘nEmesis’, combines  machine-learning and crowdsourcing techniques to analyse millions of  tweets  posted by people after visiting restaurants. 

It then ranks restaurants according to how likely it is for someone to get food poisoning after eating there.

In just four months, the system collected 3.8  million tweets from more than 94,000 unique users in New York  City, traced  23,000 restaurant visitors, and found 480 reports of likely food poisoning.

 According to scientists at the  University of  Rochester in New York, the technology could also be used  by
  authorities  to better monitor food safety, by providing more timely restaurant  inspections.

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