An anonymous reader quotes a report from Ars Technica: For millions of Spotify users, the "Wrapped" feature -- which crunches the numbers on their annual listening habits -- is a highlight of every year's end, ever since it debuted in 2015. NPR once broke down exactly why our brains find the feature so "irresistible," while Cosmopolitan last year declared that sharing Wrapped screenshots of top artists and songs had by now become "the ultimate status symbol" for tens of millions of music fans. It's no surprise then that, after a decade, some Spotify users who are especially eager to see Wrapped evolve are no longer willing to wait to see if Spotify will ever deliver the more creative streaming insights they crave.
With the help of AI, these users expect that their data can be more quickly analyzed to potentially uncover overlooked or never-considered patterns that could offer even more insights into what their listening habits say about them. Imagine, for example, accessing a music recap that encapsulates a user's full listening history -- not just their top songs and artists. With that unlocked, users could track emotional patterns, analyzing how their music tastes reflected their moods over time and perhaps helping them adjust their listening habits to better cope with stress or major life events. And for users particularly intrigued by their own data, there's even the potential to use AI to cross data streams from different platforms and perhaps understand even more about how their music choices impact their lives and tastes more broadly.
Likely just as appealing as gleaning deeper personal insights, though, users could also potentially build AI tools to compare listening habits with their friends. That could lead to nearly endless fun for the most invested music fans, where AI could be tapped to assess all kinds of random data points, like whose breakup playlists are more intense or who really spends the most time listening to a shared favorite artist. In pursuit of supporting developers offering novel insights like these, more than 18,000 Spotify users have joined "Unwrapped," a collective launched in February that allows them to pool and monetize their data.
Voting as a group through the decentralized data platform Vana -- which Wired profiled earlier this year -- these users can elect to sell their dataset to developers who are building AI tools offering fresh ways for users to analyze streaming data in ways that Spotify likely couldn't or wouldn't. In June, the group made its first sale, with 99.5 percent of members voting yes. Vana co-founder Anna Kazlauskas told Ars that the collective -- at the time about 10,000 members strong -- sold a "small portion" of its data (users' artist preferences) for $55,000 to Solo AI. While each Spotify user only earned about $5 in cryptocurrency tokens -- which Kazlauskas suggested was not "ideal," wishing the users had earned about "a hundred times" more -- she said the deal was "meaningful" in showing Spotify users that their data "is actually worth something." Spotify responded to the collective by citing both trademark and policy violations. The company sent a letter to Unwrapped developers, warning that the project's name may infringe on Spotify's Wrapped branding, and that Unwrapped breaches developer terms. Specifically, Spotify objects to Unwrapped's use of platform data for AI/ML training and facilitating user data sales.
"Spotify honors our users' privacy rights, including the right of portability," Spotify's spokesperson said. "All of our users can receive a copy of their personal data to use as they see fit. That said, UnwrappedData.org is in violation of our Developer Terms which prohibit the collection, aggregation, and sale of Spotify user data to third parties."
Unwrapped says it plans to defend users' right to "access, control, and benefit from their own data," while providing reassurances that it will "respect Spotify's position as a global music leader."
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