Understanding sensitivity by analyzing anonymity [Guest editor's introduction]

Sai Teja Peddinti, Aleksandra Korolova, Elie Bursztein, Geetanjali Sampemane

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


We can infer user privacy preferences and expectations by observing how people use existing product features. An analysis of how users employ anonymity features on Quora, a question-and-answer site, shows that the range of topics they consider sensitive is much broader than what service providers or regulators typically deem sensitive. A data-driven approach can help online services improve their products by developing features that let users express and exercise privacy preferences more effectively.

Original languageEnglish (US)
Article number7085962
Pages (from-to)14-21
Number of pages8
JournalIEEE Security and Privacy
Issue number2
StatePublished - Mar 1 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Law


  • Web technologies
  • data analysis
  • privacy
  • sociology


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