Recommendation Algorithms & Advertising - Where do you draw the line? (feddit.uk)

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

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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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[-] Pheonixdown@lemm.ee 3 points 4 months ago

For something I'm paying for, I want no ads, recommended or otherwise.

For something I get for free, if it's easily skippable/ignorable, I don't really care, I'll skip it or mute the tab or whatever. If I can't, I'd rather have a like sniper level targeted ad (use all the data!), really try to show me something I'll care about (there was some like 10 minutes ad about the science behing glass by one of the guys from MythBusters, I watched the whole ad, it was great). The demographic level targeted ads are my 2nd least favorite, mostly because it feels like I usually need to suffer through what is a targeted ad but if they bothered to exclude some of the audience based on some data points (looking at you luxury car ads, it's just never going to happen), they'd know I'm a bad target, I'd rather some generic add over those. My least favorite ad though, when I get an ad in a language I don't even understand, like at least match my primary language, wasting everyone's time...

this post was submitted on 23 Jun 2024

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