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

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

doi:10.1109/MSP.2015.45

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

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

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

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 language	English (US)
Article number	7085962
Pages (from-to)	14-21
Number of pages	8
Journal	IEEE Security and Privacy
Volume	13
Issue number	2
DOIs	https://doi.org/10.1109/MSP.2015.45
State	Published - Mar 1 2015
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering
Law

Keywords

Web technologies
data analysis
privacy
sociology

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10.1109/MSP.2015.45

Cite this

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

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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