this post was submitted on 31 May 2024
150 points (98.1% liked)
Technology
59593 readers
3385 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
This is the best summary I could come up with:
Perhaps the most notable revelation from the 2,500 documents is that they suggest Google representatives have misled the public in the past when discussing how the biggest gatekeeper of the internet assesses and ranks content for its search engine.
Testimony from the antitrust suit by the US Department of Justice previously revealed a ranking factor called Navboost that uses searchers’ clicks to elevate content in search.
“We would caution against making inaccurate assumptions about Search based on out-of-context, outdated, or incomplete information,” Google spokesperson Davis Thompson told The Verge in an email on Wednesday.
But the repeated denials, carefully worded company responses, and industry publications that unquestioningly carry these claims have made it a contentious topic of debate among SEO marketers.
Fishkin interprets it as meaning Google “uses the number of clicks on pages in Chrome browsers and uses that to determine the most popular/important URLs on a site, which go into the calculation of which to include in the sitelinks feature.”
A lot of SEO is throwing things against the wall to see what sticks, and publishers, e-commerce companies, and businesses will likely design various experiments to try to test some of what’s suggested in the documents.
The original article contains 953 words, the summary contains 196 words. Saved 79%. I'm a bot and I'm open source!