A new supercomputer can now forecast global revolts by analysing national moods. Researchers fed a ‘super’ PC articles which then accurately predicted uprisings based on the information.
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Millions of news articles used in the experiment – 100 million in total – charting national sentiment prior to the Arab Spring revolts in both Egypt and Libya, were fed to a central system and predicted trouble in both countries, could now be used to predict future global events.
But its not just news articles that are being used to examine global sentiment. Stock market analysts like TweetTrader.net are using Twitter to predict future movements on share markets by analyzing daily tweets posted by millions of users to measure overall sentiment.