Title :
Privacy in Online Review Sites
Author :
Burkholder, M. ; Greenstadt, Rachel
Abstract :
The increasing use of online review sites is creating new challenges for user privacy. Although reviews are public, many users inadvertently disclose private information about relationship, location, and temporal attributes to the world. This research protects users of online review sites from the inadvertent disclosure of private information in three ways. First, the types of unstructured and structured information made public by online review sites are characterized and used to grade those sites on their attention to privacy. Second, a privacy-check tool that uses keyword matching and named-entity recognition to annotate potentially sensitive review text is presented. Third, we raise awareness of the privacy threat in online review sites through examples and statistics derived from the privacy-check tool.
Keywords :
Web sites; data privacy; text analysis; keyword matching; named-entity recognition; online review sites; privacy-check tool; private information; sensitive review text; structured information; unstructured information; user privacy; Business; HTML; History; Motion pictures; Privacy; Real time systems; Twitter; name-entity recognition; online data; privacy; semantic;
Conference_Titel :
Security and Privacy Workshops (SPW), 2012 IEEE Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4673-2157-0
DOI :
10.1109/SPW.2012.23