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    Home»Technology»How to get Niche Mixes on Spotify
    Technology

    How to get Niche Mixes on Spotify

    kowatekBy kowatekMarch 28, 2023No Comments2 Mins Read
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    Finally, Spotify has a custom “Meme Mix”.

    Today (March 28), the streaming giant launched “Niche Mixes.” This is our latest attempt to recommend more music to our users. Spotify offers 5-10 daily playlists organized around quirky themes like ‘Angry Whistling’ and ‘Egg Punk’. What is “egg punk”? I have no idea.

    To access these niche mixes,[検索]Click[Made for you]to tap[あなたのニッチ ミックス]Scroll down to My niche mixes include ‘Aggressive Heavy’, which combines artists I’ve never heard of (Slayer, Slipknot, Poppy), and ‘Dark Moody’, which I feel is closer to my typical listening habits. will be

    Related item:

    Spotify’s big update is not only annoying, it’s also irrelevant

    Niche Mixes was born after Spotify unveiled a new video transfer home screen featuring snippets of songs, audiobooks and podcasts, as well as an AI DJ delivering algorithmically generated recommendations to users. This is part of Spotify’s efforts to double down on being the go-to destination for discovering new content.

    You can also search for custom niche mixes based on “the activity, atmosphere, or aesthetic that describes the moment you’re in” by adding mixes to your search terms. Niche mixes that emerged from various searches include ‘Goblincore Mix’, ‘Murder Ballads’ and ‘Extreme Pirates’.

    However, the new mixes detract from some of the platform’s enjoyment. I hate to see users rely on Spotify’s Niche Mixes instead of creating their own very specific playlists. Previously, searching for a particular mood could result in numerous user-created playlists. User-created playlists are at the heart of modern music consumption and sharing. As a fellow user, every silly little feeling I have is a reminder someone else had too. already We picked the perfect Taylor Swift song for it.

    Personally, I’d rather an abstract Spotify search yield a playlist created by a 16-year-old girl than an algorithm.



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