Elections Forecasting: Big Data, Algorithms–and Baseball
There are less than 50 days before the Nov. 8 elections and the stage is set with local, state, and national media churning out a blizzard of stretch-run campaign coverage.
In print media, there is a uniformity in how elections articles are structured. Most routinely note how the race fits into the “big picture;” how much money candidates raised; and what polls say.
This century, another element has become standard with the convergence of ‘Big Data’ and algorithmic modeling—electorate ratings and forecasts from analysts mining historical statistics, crunching voter data, and aggregating polls to make predictive judgments based on an ever-expanding realm of factors and relationships….
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