Listeners tend to actively mine the streaming service and go after what they “Those who are more inclined to find new artists and digĭeep into specific sounds and scenes are still doing that,” he says. Their subscribers into two distinctive groups, Richardson says: “lean in” and Sorted by era (1990s R&B) or subgenre (Outlaw Country) or mood (Totally Streaming services haveĪccelerated the trend, mixing in hundreds of hyper-specific playlist categories Has been mining data to inform its playlists within relatively broad genreĭesignations - Top 40, New Country, Classic Rock. Made the biggest impact for passive consumers, which is the majority of Replaced radio listening for most listeners,” Richardson says. Mark Richardson, music writer for the Wall Street Journal and former editor-in-chief of the online magazine Pitchfork, says that personalized feeds and recommendation engines are changing listening habits. The same goes for the music industry, which has been transformed by the rise of streaming services such as Spotify, Pandora, and Apple Music. Pinned down by our tenacious data profiles, we’ll Have to work a little harder to reach a lot of people, but you can targetįor studios and filmmakers trying to get their movies to a particular audience.īut it’s much harder to get people to branch out, hop genres, and find stuff Now we know that it might be seen by a more defined group. “We used to make a television spot thinking it would have to appeal to a Gone, outside of giant events like the Super Bowl or the Academy Awards,” Singh Pinned down by our tenacious data profiles, we’llīe forever looking into our own reflections, prisoners of our own tastes. But it has empowered studios to greenlight films that seem to fit a rabid but narrower audience. David Singh, a veteran studio executive who’s worked for Disney, Sony Pictures, and Twentieth Century Fox, says the cyberbalkanization of audiences has made it harder to reach a mass number of people all at once. It’s one way that personalized feeds and recommendation engines have affected the movie business. Low-budget rom-coms are booming on the streaming service, which discovered that fans oftenĬlick on recommended titles after the credits roll, happy to stay put and Think you’ve seen a lot of original romantic comedies scrolling across your We just need smarter AI.īefore.” “Irreplaceable You.” “Always Be My Maybe.” “Falling Inn Love.” If you ![]() Swaths of things we don’t like, we might miss out on something we’d love.īut if AI has created the problem, AI might have a fix. To please us, we risk a dull, even slightly scary future. ![]() You like true crime movies? Here are five more true crime movies! You like old-school rap? Here are five more old-school rap playlists! It’s a bunch of lines of code, trained to identify your online behavior patterns and generate a corresponding action. Humans might curate the categorical bins the system draws from - music streaming services are famous for hiring music nerds - but the actual tour guide is a data-driven algorithm powered by a blunt form of artificial intelligence. Often, no human beings are directly involved in these recommendations. Whittling down our options, offering a path of least resistance. Nudges us away from wandering into fresh territory, subtly and relentlessly ![]() Lower-stakes realm of entertainment and popular culture, the filter bubble Political perspective, they can cultivate their own reality. Netflix, Spotify, TikTok and YouTube, even Apple News and Google News: their algorithms all track what we like, then give us what they think we want.įilter-bubble problem: Once people only get information that aligns with their Without That One Guy, our lives might have gone in another direction entirely.īut today, That One Guy is at risk of being supplanted by That One Machine: the social media algorithm, the personalized playlist, the recommended movie queue. ![]() It might have been the punk rock girlfriend who knew about The Clash, the older kid down the street with Monty Python on VHS, or the friend who turned you on to Lizzo before she got big. We usually encountered him or her in our teenage or college years. It could have been an older brother or sister - That One Guy is a gender-neutral term. Comedian Marc Maron has a theory: All of us, when growing up, had That One Guy who introduced us to the really cool stuff in popular culture - the best music, the coolest films, the good books, and comedy records.
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