Why Should I Not Use Spotify?

The music streaming service Spotify, which was born in Sweden in 2006, is considered to be an almost perfect platform that satisfies all the requirements of music lovers. And it is true. But is Spotify suitable for everyone, what are its advantages and disadvantages?

 Streaming services collect more and more data about our tastes and preferences. All this to best fit the songs and albums on offer. The problem is that our tastes are constantly changing and evolving.

We love Spotify and are fascinated by the algorithms that create playlists for us twice a week with recommended songs that we might like. Of course, they do not work perfectly, but in most cases you can take at least a few songs from here, which then end up in your own playlists. However, users noticed one disturbing phenomenon – the algorithms are not developing as we would like.

Many of you have heard the term “information bubble”. It refers to the phenomenon in which the user reads only certain websites and receives from them well-known and in many ways similar content. Extending it to algorithms, we get a situation in which algorithms, knowing the interests and expectations of the user, provide him with only articles on certain topics from several to a dozen sources. A similar situation is in the case of Spotify, where you can talk about the music and serial bubble, respectively.

Of course, this does not mean that someone is artificially blocking our access to content outside of the bubble. However, most of us are not drawn to them because they are more convenient. So week after week we get offers related to our musical tastes.

For example, you taught Spotify that you like rock – lighter, with a well-defined rhythm, less heavy. So that’s exactly what your algorithmic playlists are about. The problem is that you have been into electronic music for a long time. What does Spotify do? He does not seem to react to these changes and continues to give you guitar sounds with the persistence of a maniac. And this is not surprising, because after several years of listening to certain genres, it is difficult to make the system work differently overnight. So, you’ve been waiting months for electronic music to appear on Discover Weekly. And nothing, absolutely nothing.

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How does this relate to the music bubble? We can say that modern algorithms are still far from meeting the needs of users. They react too slowly to the dynamically changing world around them. There is also the issue of the viability of big data and the waste generated in this way. Does the application regularly clear the database of records older than 12 months? Theoretically, this could work, but how can we be sure that useful and still relevant entries will not be deleted then.

After some time, we will begin to deal with big data garbage – outdated information that is still in the server rooms and prevents the algorithm from achieving perfection. Provided, of course, that in the near future intelligent systems will not be created that can independently assess the usefulness of archived data and perform appropriate cleaning in the database.

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