this post was submitted on 27 Jun 2023
1414 points (99.6% liked)

Technology

59103 readers
4013 users here now

This is a most excellent place for technology news and articles.


Our Rules


  1. Follow the lemmy.world rules.
  2. Only tech related content.
  3. Be excellent to each another!
  4. Mod approved content bots can post up to 10 articles per day.
  5. Threads asking for personal tech support may be deleted.
  6. Politics threads may be removed.
  7. No memes allowed as posts, OK to post as comments.
  8. Only approved bots from the list below, to ask if your bot can be added please contact us.
  9. Check for duplicates before posting, duplicates may be removed

Approved Bots


founded 1 year ago
MODERATORS
 

Google executives acknowledged this month they need to do a better job surfacing user-generated content after the recent Reddit blackouts.

you are viewing a single comment's thread
view the rest of the comments
[–] Eidolon 7 points 1 year ago (1 children)

Which isn't entirely accurate if at all. It extrapolates the dislikes from its own database ie users who have it installed. Compared to the entire user base of Youtube this is an incredibly tiny sample size.

[–] [email protected] 8 points 1 year ago (1 children)

Which isn’t entirely accurate if at all. It extrapolates the dislikes from its own database ie users who have it installed. Compared to the entire user base of Youtube this is an incredibly tiny sample size.

You need a much, much smaller sample size than you think. Estimates for Youtube's monthly unique visits range from ~2 billion to about ~2.7 billion. For a 5% margin of error at a 99.9% confidence level, you'd only need to sample 1083 people to get an accurate sample size.

I'm positive that extension has more than 1000 users.

[–] goetzit 3 points 1 year ago (1 children)

Don’t you also need to worry about your sample population being biased? You’d only be sampling people who sought out a dislike plugin, these people might be much more likely to dislike a video. Is there any way to account for that?

[–] [email protected] 1 points 1 year ago

You'd have to have a separate cohort of non-plugin users & another with a sampling of both, I think. Run some regressions on those data and I think you'd be able to tease out any bias that exists.