Data is now the new gold standard for the entertainment biz. There are “data rooms” and “data executives” popping up all over the corporate aisles. All major decisions seem to be based on data. But what if the data is wrong?
Take the algorithm used by the streamers, for example. Content creators often complain that when their new programs premiere, they don’t show up on streamers’ home pages. This is because those home screens highlight a given user’s viewing pattern.
But viewers often fail to select their ideal shows because of the difficulties in finding them (so-called viewer fatigue). Instead, they settle for the least objectionable new show, until, after one or two episodes, they simply turn the TV off because said show turns out to be unwatchable.
By relying on data, even if it’s on target, the program selection line-up keeps promoting similar genres and this, in the long run, could cause the same effect that the superhero genre is currently having on moviegoers: narcolepsy.
Another problem is that subscribers’ accounts are often shared among people with different tastes, so recommendations tend to be misguided.
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