Online activity is increasingly influenced by algorithmic recommendations based on data gathered about consumer behavior by companies that are often reluctant to disclose what data they’re gathering or how they are using it.
The companies that gather and use consumer data (usually for their own financial gain) are notably resistant to academic scrutiny, the researchers found. “Despite their powerful inﬂuence, there is little concrete detail about how, exactly, these algorithms work, so we had to use creative ways to find out,” says Dr. Morreale.
The team looked at the legal documents of Tinder and Spotify because both platforms are grounded on recommendation algorithms that nudge users either to listen to speciﬁc songs or to romantically match up with another user. “They have been largely overlooked compared to bigger tech companies such as Facebook, Google, Tik Tok etc who have faced more scrutiny,” he says. “People might think they’re more benign, but they are still highly influential.”
The researchers analyzed iterations of the legal documents over the past decade. Companies are increasingly required to let users know what data is being collected, yet the length and language of the legal documents could not be described as user-friendly.
“They tend toward the legalistic and vague, inhibiting the ability of outsiders to properly scrutinize the companies’ algorithms and their relationship with users. It makes it difficult for academic researchers and certainly for the average user,” says Dr. Morreale. Their research did reveal several insights. Spotify’s privacy policies, for instance, show that the company collects much more personal information than it did in its early years, including new types of data.
“In their recommendations (and playlists, for that matter), Spotify is also likely to be pushing artists from labels that hold Spotify shares—this is anticompetitive, and we should know about it.”
And probably contrary to most users’ perceptions, the dating app Tinder is “one big algorithm,” says Matt Bartlett. “Tinder has previously stated that it matched people based on ‘desirability scores’ calculated by an algorithm. I don’t think users fully understand or know about how Tinder’s algorithm works, and Tinder goes out of its way not to tell us.”
“With these powerful digital platforms possessing considerable inﬂuence in contemporary society, their users and society at large deserve more clarity as to how recommendation algorithms are functioning,” says Dr. Morreale. “It’s crazy that we can’t find out; I think in the future we’re going to look back and see this as the Wild West of big tech.”
‘Dislike’ button would improve Spotify’s recommendations
University of Auckland
What Spotify and Tinder aren’t telling us (2022, May 10)
retrieved 10 May 2022
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