As Stranger Things releases the first four episodes of its final season today, nearly a decade after its July 2016 premiere, the Netflix series has come to represent something broader than its own popularity -- the embodiment of streaming television's algorithmic philosophy. When the show first appeared, streaming was still finding its footing. Netflix had been producing original series for only a few years, and services like Disney+, Apple TV and HBO Max did not yet exist.
The question then was what form streaming originals would take: experimental fare like Sense8, nonlinear storytelling like the revived Arrested Development, or prestige dramas like House of Cards. The answer came from a popcorn horror thriller set in 1980s small-town Hawkins, Indiana. Matt and Ross Duffer built Stranger Things from vintage pop-culture parts -- Spielberg's coming-of-age sensibilities from E.T., Stephen King's horror and adolescent bonding, John Hughes' mean jocks and soulful goths, and references ranging from Kate Bush to The NeverEnding Story to casting Winona Ryder of Heathers and Beetlejuice fame.
New York Times critic James Poniewozik calls the series "a human-made equivalent of the algorithm" -- the software engine that drives streaming's "if you liked that, you'll like this" recommendation philosophy. Netflix did not invent the idea of copying television success, but the algorithm automated it and made it part of the creative operating system. The show's structure also fits streaming's mechanics: binge-watching encouragement, irregular release schedules, and episodes that assume audiences have time (the last season finale ran two hours and 22 minutes). The story adds: It's why you see a menu of similar thumbnail recommendations once you finish streaming a favorite series, encouraging you not to discover but to replicate. But the spirit behind it also explains why so much original streaming TV feels like the creative product of an algorithm. Consider the recent Netflix drama "The Beast in Me," which pairs familiar prestige-TV stars (Claire Danes of "Homeland" and Matthew Rhys of "The Americans") in a grim, upscale thriller that vaguely recalls something you might have seen on early 2010s Showtime or FX.
Creating the new by swallowing and regurgitating the old is also the signature move of generative A.I., which may be why that medium is so effective at creating works of burnished nostalgia. On Instagram and TikTok, accounts with names like "Maximal Nostalgia" serve up honeyed, uncanny images and videos that testify to how much better life was in a 1980s and 1990s that never existed.
Read more of this story at Slashdot.
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