The End Of Privacy: Facebook ‘Likes’ Reveal Sensitive Personal Data
ID: 4d9e9974-b013-51ec-b515-f08a165026ef
STIX ID: report--4d9e9974-b013-51ec-b515-f08a165026ef
Feed Name: Security Ledger
### Executive Summary A Cambridge and Microsoft Research study analyzed Facebook users' "Likes" from 58,000 volunteers and showed that automated models can accurately infer many sensitive personal attributes (e.g., sexual orientation, ethnicity, political affiliation, intelligence), highlighting substantial privacy risks and potential for misuse by advertisers or discriminatory actors.
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