Technology

34767 readers

62 users here now

This is the official technology community of Lemmy.ml for all news related to creation and use of technology, and to facilitate civil, meaningful discussion around it.

Ask in DM before posting product reviews or ads. All such posts otherwise are subject to removal.

Rules:

1: All Lemmy rules apply

2: Do not post low effort posts

3: NEVER post naziped*gore stuff

4: Always post article URLs or their archived version URLs as sources, NOT screenshots. Help the blind users.

5: personal rants of Big Tech CEOs like Elon Musk are unwelcome (does not include posts about their companies affecting wide range of people)

6: no advertisement posts unless verified as legitimate and non-exploitative/non-consumerist

7: crypto related posts, unless essential, are disallowed

founded 5 years ago

MODERATORS

[email protected]

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

submitted 4 months ago by [email protected] to c/[email protected]

22 comments fedilink hide all child comments

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 😝

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] 4 points 4 months ago (1 children)

I just would like to see the results of a recommendation algorithm that gives you something that it thinks you definitely won't like, say, 20 percent of the time.

Because a lot of times in my endless scrolling I just end up with the same old drivel. Throw me something challenging occasionally, jeeeez.

[–] [email protected] 2 points 4 months ago

This is what made YouTube rabbit holes fun a few years ago. Now we're all in our own echo chambers.