@article{ieeesandp2015,
 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. },
 address = {Los Alamitos, CA, USA},
 author = {Peddinti, Sai Teja and Korolova, Aleksandra and Bursztein, Elie and Sampemane, Geetanjali},
 doi = {10.1109/MSP.2015.45},
 issn = {1558-4046},
 journal = { IEEE Security & Privacy },
 keywords = {Privacy;Context modeling;Sensitivity;Social network services;Search engines;Product design;Sociology;Web sites;Information analysis},
 month = {March},
 number = {02},
 pages = {14-21},
 publisher = {IEEE Computer Society},
 title = { Understanding Sensitivity by Analyzing Anonymity [Guest editor's introduction] },
 url = {https://doi.ieeecomputersociety.org/10.1109/MSP.2015.45},
 volume = {13},
 year = {2015}
}