this post was submitted on 06 Mar 2026
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[–] refalo@programming.dev 22 points 2 weeks ago (1 children)

No it can't. This story keeps getting posted all over the internet.

Not only is it wrong, and not only do the researchers refuse to show their work (citing possible "misuse"), but it entirely depends on what kind of OPSEC failures the user happens to make.

[–] Chozo@fedia.io 9 points 2 weeks ago

If 90% of LinkedIn users are making the same OPSEC errors, then I'd say it works as advertised.

[–] tidderuuf@lemmy.world 12 points 2 weeks ago (1 children)

Guess it's a good thing I don't use any social media with my real identity.

[–] Onomatopoeia@lemmy.cafe 1 points 2 weeks ago

Right?

I have a linked in account which I haven't touched in years, from a machine that no lonhers exists, on an internet connection I left behind.

Good luck connectinge to that.

[–] imsufferableninja@sh.itjust.works 10 points 2 weeks ago (1 children)

60% of the time it works every time

[–] testaccount372920@piefed.zip 5 points 2 weeks ago

67% of the time it works 90% of the time according to the article

[–] sydd@lemmy.world 9 points 2 weeks ago

So people without linkedin profiles are 100% safe?

[–] RickyRigatoni@piefed.zip 6 points 2 weeks ago (4 children)

What does 67% at 90% precision mean

[–] lasta@piefed.world 3 points 2 weeks ago* (last edited 2 weeks ago)

Recall—that is, how many users were successfully deanonymized—was as high as 68 percent. Precision—meaning the rate of guesses that correctly identify the user—was up to 90 percent.

I take that to mean there is a 90% match between anonymized posts and real life profiles for 68% of users and that it’s a minimum confidence level needed for a user to be considered deanonymized.

[–] MadhuGururajan@programming.dev 2 points 2 weeks ago

Precision: ratio of true positives to total predicted positives.

Recall: ratio of true positives to actual positives

[–] LodeMike@lemmy.today 2 points 2 weeks ago

67% made a match. 90% of matches were right.

No idea how they got that number, though.