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submitted 4 months ago by Flax_vert@feddit.uk to c/technology@lemmy.ml

I think recommendation algorithms and advertising are separate things, however think with defaults and when it comes to what specific data is collected, where do you draw the line? Absolutely no recommendations at all based on an algorithm? Would you say using your 'like' history to recommend you more videos is okay? What about watch history, or save history?

Same question can also be asked about where you draw the line on advertising. Just say Youtube showed ads purely based on your video like history, would that be creepy?

I think we can all draw the line at location history, how long you linger on a post, etc. I'd like to know your thoughts on where you'd draw the line for both advertising and content recommendations. (This is two questions)

Sorry that this post is horribly formatted. I'm tired, acoustic and had a shower thought 😝

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[-] magic_lobster_party@kbin.run 3 points 4 months ago

Whether they intend it or not, these engines are built to funnel you back into the lowest common denominator, most broadly appealing stuff, because that's what the algorithm sees gets the most clicks from the average person.

That’s not my general experience. Spotify for example is good at recommending me songs with less than 10k plays which I vibe on. I’ve discovered many smaller artists thanks to Spotify recommendations.

[-] GiveOver@feddit.uk 2 points 4 months ago

Same. If anything, it would be in Spotify's best interest to steer you away from broadly appealing stuff because they're the mega artists that probably negotiated a better deal. (I'm guessing here)

this post was submitted on 23 Jun 2024
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