“Last October, Johan Bollen and Huina Mao, professors of informatics and computing at Indiana University-Bloomington, caused a stir in the business world when they said Twitter could be used to predict the Dow Jones.
Paul Hawtin, a 28-year-old hedge fund manager, liked the idea so much that he’s now dedicating an entire hedge fund to it.
The original paper, entitled “Twitter mood predicts the stock market,” investigated whether “collective mood states derived from large-scale Twitter feeds” like OpinionFinder and Google-Profile of Mood States correlated with the value of the Dow Jones Industrial Average. What they found was that their algorithm not only paralleled market changes, it predicted them, with startling 87.6 percent accuracy.”
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